Reflections [Expanded version]

The 2025 Government Shutdown Guide for Individual Investors

What’s Really Happening and How to Protect Your Portfolio

Last Updated: October 27, 2025 (Day 24 of shutdown)


The Bottom Line Up Front

What you need to know in 60 seconds:

The government shutdown is now in its 24th day, and it’s different from past shutdowns in one critical way: Food stamp benefits (SNAP) will stop for 42 million Americans starting November 1st. This creates a $12 billion hole in consumer spending every month it continues.

Our best estimate: The shutdown will last 6-8 weeks total, markets will drop another 4-6% from current levels, then recover once it’s resolved. If you’re a long-term investor (5+ years), this is likely a buying opportunity. If you need money in the next 12 months, you should already be defensive.

What’s driving stock market weakness:

  • 70% is the food stamp cutoff hurting consumer spending
  • 20% is uncertainty about how long this lasts
  • 10% is everything else

It’s NOT primarily about federal job losses (only 5,000-15,000 jobs, which is tiny), but about 42 million people losing $200/month in grocery money.


Table of Contents

  1. What’s Different About This Shutdown
  2. Six Ways This Could Play Out
  3. What Should I Do With My Money?
  4. When Will Markets Recover?
  5. Is This 2008 All Over Again?
  6. Practical Portfolio Changes
  7. Common Questions Answered
  8. Key dates to watch
  9. How to monitor the situation
  10. Five rules to get through this
  11. Final Thoughts
  12. Stay Updated.

1. What’s Different About This Shutdown

Past Shutdowns vs. Now

Previous shutdowns (1995, 2013, 2018-19):

  • Federal workers sent home temporarily
  • Everyone got back pay when it ended
  • Essential services mostly continued
  • Food stamps kept flowing
  • Markets barely noticed

This shutdown (2025):

  • Federal workers still sent home (will get back pay)
  • Food stamps STOPPED for 42 million people ← This is the big one
  • 5,000-15,000 federal workers may be permanently laid off
  • Already 24 days (approaching the 35-day record from 2018-19)

Why Food Stamps Matter So Much

The Math:

  • 42 million Americans rely on SNAP (food stamps)
  • Average benefit: ~$200 per person per month
  • Total lost spending: $8-12 billion per month
  • These people spend 100% of their benefits immediately (unlike wealthy people who might save money)

Where it hits hardest:

  • Grocery stores (especially discount chains like Dollar General)
  • Fast food restaurants
  • Walmart, Target
  • Any business that serves lower-income customers

Why this matters for stocks: When 42 million people suddenly have $200 less to spend, companies that sell to them see sales drop. Lower sales = lower earnings = lower stock prices.

The Three Things That Determine What Happens Next

1. How Long Does It Last?

  • Short (< 4 weeks): Unlikely now, we’re already at 24 days
  • Medium (4-8 weeks): Most likely (our base case)
  • Long (8+ weeks): Possible but less likely

2. How Long Are Food Stamps Cut Off?

  • 1 month (November only): Base case
  • 2 months (November + December): Worse case
  • 3+ months: Very bad case

3. How Many Federal Workers Get Permanently Laid Off?

  • Less than 5,000: Courts blocked it
  • 5,000-15,000: Most likely (partial success)
  • More than 15,000: Proves the government can be dramatically downsized

Important: The job losses don’t directly hurt the economy much (it’s only 0.01% of all jobs), but they signal whether shutdowns will become a regular thing going forward.


2. Six Ways This Could Play Out

Scenario 1: Quick Resolution (25% chance)

The Good News Case

What happens:

  • Thanksgiving week pressure forces a deal (by November 27)
  • Food stamps restored quickly
  • Shutdown lasts ~4 weeks total
  • Federal workers laid off: Minimal (courts block it)

Market impact:

  • Stocks: Rally 2-4% when announced
  • Your portfolio: Gets back most of what it lost

What to do:

  • Don’t sell in panic
  • This would be a buying opportunity that resolved quickly
  • Patient investors win

Scenario 2: Our Best Guess (30% chance)

The Most Likely Case

What happens:

  • Shutdown lasts 6-8 weeks (through mid-December)
  • Food stamps cut off for November only
  • Some federal workers laid off (5,000-15,000)
  • Holiday season creates pressure for deal

Market impact:

  • Stocks: Drop 4-6% total from today’s levels
  • Discount retailers (Dollar General, Dollar Tree) get crushed: -15% to -25%
  • Defensive stocks (healthcare, utilities, food companies) hold up better

What to do:

  • If you’re 100% in stocks: Move 8-10% to bonds or cash
  • If you’re retired/near retirement: Already be defensive (40-50% in stocks max)
  • Set a mental “buy list” of quality stocks you want to own at lower prices
  • Example: If Microsoft drops below $350, add to your position

Recovery timeline:

  • Deal announced: Stocks jump 3-5% immediately
  • Full recovery: 3-6 months

Scenario 3: Gets Worse (10% chance)

The Bad Case

What happens:

  • Shutdown lasts 6-8 weeks
  • Food stamps cut off for November AND December (two months)
  • More federal workers laid off (15,000-20,000)

Market impact:

  • Stocks: Drop 6-9% total
  • Recession becomes more likely (35-40% chance)
  • Consumer stocks get hammered

What to do:

  • Move to 50-55% stocks (if you’re normally 60-65%)
  • Increase bonds and cash
  • Focus on quality: Companies with no debt, steady profits
  • Examples: Johnson & Johnson, Procter & Gamble, Microsoft, Coca-Cola

Recovery timeline:

  • 6-9 months to get back to current levels

Scenario 4: Extended Crisis (4% chance)

The Ugly Case

What happens:

  • Shutdown exceeds 60+ days (through January)
  • Food stamps cut off 2-3 months
  • Lots of federal workers laid off (15,000-25,000)
  • Recession likely

Market impact:

  • Stocks: Drop 9-13% total
  • Many retailers face serious trouble
  • Some regional banks may fail

What to do:

  • Get defensive: 45-50% stocks maximum
  • Move to highest quality companies only
  • Increase savings/cash to 5-10% of portfolio
  • Don’t panic sell, but don’t be a hero either

Recovery timeline:

  • 12-18 months

Scenario 5: Disaster (1% chance)

The Worst Case

What happens:

  • Shutdown exceeds 75+ days (into February/March)
  • Food stamps cut off 3-4 months
  • Debt ceiling crisis happens simultaneously
  • Credit rating agencies downgrade US debt
  • Recession certain

Market impact:

  • Stocks: Drop 15-20% (full bear market)
  • Financial system stress (but no 2008-style collapse)

What to do:

  • Maximum defense: 35-40% stocks
  • Only own the absolute safest companies
  • Have cash ready to buy at once-in-decade prices
  • Think “Great Recession” not “normal correction”

Recovery timeline:

  • 18-24+ months

Scenario 6: False Alarm (25% combined)

It Resolves Very Quickly

This combines the various “better than expected” outcomes. Maybe Thanksgiving creates enough pressure, or courts block everything, or politicians blink.

What to do:

  • If this happens, you’ll wish you’d bought more
  • Don’t chase—markets will rally 5-10% in days
  • Be satisfied if you held steady

3. What Should I Do With My Money?

If You’re Young (20+ Years Until Retirement)

Bottom line: Do almost nothing.

This is noise for you. In 20 years, this will be a tiny blip. Every crisis looks like the end of the world while you’re in it, then seems obvious in hindsight.

Action plan:

  1. Keep contributing to your 401(k)/IRA (you’re buying stocks on sale)
  2. If you have cash on the sidelines, consider buying if S&P drops to 5,000
  3. Don’t check your account every day (it’ll just stress you out)
  4. Remind yourself: You’re decades away from needing this money

What NOT to do:

  • Sell everything and go to cash (you’ll lock in losses and miss the recovery)
  • Stop contributing to retirement accounts (worst time to stop)
  • Try to time the market perfectly (you’ll probably get it wrong)

If You’re Mid-Career (10-20 Years Until Retirement)

Bottom line: Get slightly more conservative, but stay mostly invested.

You have time to recover from this, but not unlimited time. Now’s the time to make sure your portfolio isn’t too aggressive.

Check your allocation:

Your Current Mix Suggested Adjustment
80% stocks / 20% bonds → Move to 70% stocks / 30% bonds
70% stocks / 30% bonds → Move to 60% stocks / 35% bonds / 5% cash
60% stocks / 40% bonds → Stay put (you’re already defensive)

Within your stock allocation, tilt toward quality:

Reduce:

  • Small risky companies
  • Tech stocks with no profits
  • Anything with lots of debt
  • Retailers (especially discount chains)

Increase:

  • Big, stable companies (Microsoft, Apple, Google)
  • Healthcare (Johnson & Johnson, UnitedHealth)
  • Consumer staples (Procter & Gamble, Coca-Cola)
  • Utilities (electric companies)

Shopping list (if prices drop another 5-10%):

  • Microsoft under $350
  • Apple under $180
  • Johnson & Johnson under $145
  • Procter & Gamble under $140

If You’re Near Retirement (5-10 Years Out)

Bottom line: Get defensive now if you haven’t already.

You don’t have time to recover from a big loss. Your goal is preserving what you’ve built.

Target allocation for your situation:

  • 50% stocks (maximum)
  • 40% bonds
  • 10% cash/stable value

Within stocks, be VERY selective:

  • Only own things you’d hold through a recession
  • Focus on dividends (steady income even if price drops)
  • Avoid anything risky or speculative

Dividend Champions to consider:

  • Johnson & Johnson (2.9% dividend yield)
  • Procter & Gamble (2.4% yield)
  • Coca-Cola (3.1% yield)
  • 3M Company (5.8% yield)
  • AT&T (6.5% yield, but has risks)

Bonds:

  • Keep it simple: Total bond market index fund
  • Or: Treasury bonds (ultra-safe, government guaranteed)
  • Duration: 5-7 years is good middle ground

If You’re Retired

Bottom line: You should already be defensive. If not, fix that now.

The rule of thumb: If you need money in the next 3 years, it shouldn’t be in stocks at all.

Suggested allocation:

  • 30-40% stocks (only very safe ones)
  • 50-60% bonds
  • 10-15% cash

Create a “bucket” system:

Bucket 1 (Immediate needs – next 2 years):

  • High-yield savings account
  • Money market fund
  • Short-term bonds (1-2 years)
  • Goal: Never have to sell stocks at a bad time

Bucket 2 (Medium-term – years 3-7):

  • Bond funds (total bond market or intermediate-term)
  • Dividend-paying stocks (the most stable ones)
  • Goal: Income plus modest growth

Bucket 3 (Long-term – years 8+):

  • Stocks for growth (you might live 30+ years in retirement)
  • Focus on quality: Microsoft, Johnson & Johnson, Berkshire Hathaway
  • Goal: Keep up with inflation long-term

Critical rule:

  • If you need to take money out, take it from Bucket 1
  • Never sell stocks when they’re down unless you have no choice
  • Refill Bucket 1 from Bucket 2 when markets recover

4. When Will Markets Recover?

Historical Recovery Times

Past government shutdowns:

  • 1995-96: Markets flat during, recovered immediately
  • 2013: Back to normal in 2-3 months
  • 2018-19: Markets actually UP during shutdown (looking past it)

But this one is worse because of the food stamp cuts.

Recovery Timeline by Scenario

Scenario   Market Drop      Back to Even      Back to Highs
Quick resolution  -2% Immediately 2-3 months
Our base case  -4 to -6% 3-6 months 6-9 months
Gets worse  -6 to -9% 6-9 months 9-12 months
Extended crisis  -9 to -13% 9-12 months 12-18 months
Disaster  -15 to -20% 12-18 months 18-24 months

What “Recovery” Looks Like

Day 1 after deal announced:

  • Stocks jump 3-8% (everyone relieved)
  • You’ll feel like you should have bought more

Week 1:

  • Continued rally, maybe another 2-4%
  • News coverage becomes positive
  • Investors pat themselves on back

Months 2-3:

  • Markets get choppy again
  • People realize the damage was real
  • Some stocks go back down a bit
  • This is normal—ignore it

Months 3-6:

  • Gradual recovery continues
  • Economy shows it’s healing
  • Markets grind higher
  • Back to old highs eventually

The pattern is ALWAYS the same:

  1. Crisis happens
  2. Everyone panics
  3. Prices drop
  4. Crisis resolves (they always do)
  5. Markets recover
  6. People say “I should have bought at the bottom!”

5. Is This 2008 All Over Again?

No. Here’s Why:

2008 Financial Crisis:

  • Banks were failing (Bear Stearns, Lehman Brothers collapsed)
  • Credit markets froze (nobody could borrow money)
  • Housing market collapsed (millions of foreclosures)
  • Unemployment hit 10% (massive job losses)
  • Stock market dropped 50%+ (retirement accounts cut in half)
  • Recovery took 5+ years

2025 Government Shutdown:

  • Banks are healthy (well-capitalized, lots of reserves)
  • Credit markets working (stressed but not frozen)
  • Housing market solid (inventory low, demand steady)
  • Unemployment still only 4.0% (very low)
  • Stock market down 5-10% max (correction, not crash)
  • Recovery will take 6-18 months

What IS Similar

Both are scary when you’re living through them. That’s it.

What This IS More Like

2011 Debt Ceiling Crisis:

  • Political dysfunction
  • US credit rating downgraded
  • Markets dropped ~15%
  • Felt like end of the world
  • Recovered fully in 6 months
  • People who sold regretted it

2018-19 Government Shutdown + Fed Fears:

  • Longest shutdown in history (35 days)
  • Markets dropped 20% in late 2018
  • Everyone panicked
  • By mid-2019, markets at new all-time highs
  • People who sold at the bottom kicked themselves

The Pattern

Crisis → Panic → Recovery happens over and over:

  • 1987 crash: Recovered in 2 years
  • 1990-91 recession: Recovered in 18 months
  • 1998 Russia/LTCM crisis: Recovered in 6 months
  • 2000-2002 tech bubble: Took 3 years (this was real)
  • 2008-09 financial crisis: Took 5 years (this was real)
  • 2011 debt ceiling: Recovered in 6 months
  • 2015-16 China fears: Recovered in 9 months
  • 2018 shutdown/Fed: Recovered in 6 months
  • 2020 COVID: Recovered in 6 months (fastest ever due to stimulus)
  • 2022 inflation fears: Down 25%, recovered in 12 months

The lesson: Stay invested. Don’t panic sell. Buy quality on dips.


6. Practical Portfolio Changes

For Your 401(k) / IRA

If you’re currently in:

  • Target Date Fund (like “Target 2040”): These automatically rebalance. Do nothing.
  • S&P 500 Index Fund only: Consider moving 10-15% to a bond fund
  • 100% stocks of any kind: Move 10-20% to bonds unless you’re under 35

Specific moves:

Conservative adjustment:

  • Take 10% of your stock funds
  • Move to: Total Bond Market Index or Intermediate-Term Treasury

Moderate adjustment:

  • Take 15% of your stock funds
  • Move to: 10% bonds, 5% money market/stable value

Aggressive adjustment (if you’re really worried):

  • Take 20-25% of your stock funds
  • Move to: 15% bonds, 10% cash
  • Only do this if you’re within 10 years of retirement

For Your Brokerage Account (Individual Stocks)

If you own risky/speculative stocks:

Sell or Reduce:

  • Unprofitable tech companies
  • Dollar General, Dollar Tree (directly in the line of fire)
  • Small-cap stocks with debt
  • Regional banks in the DC area
  • Commercial real estate REITs
  • Anything you wouldn’t want to hold through a recession

Keep or Buy:

  • Microsoft, Apple, Google (fortress balance sheets)
  • Johnson & Johnson, Procter & Gamble (defensive)
  • Walmart, Costco (benefit from trade-down)
  • Utilities (essential services, dividends)
  • Berkshire Hathaway (Buffett’s safe haven)

Quality checklist (does your stock have these?):

  • ✅ Profitable (positive earnings)
  • ✅ Low or no debt
  • ✅ Steady business (not dependent on economy)
  • ✅ Been around 25+ years
  • ✅ Pays a dividend (nice bonus but not required)

If you answer “no” to more than 2 of these, consider selling.

Sample Portfolio for Different Ages

Age 30 (Aggressive Growth):

70% US Stock Index Fund
20% International Stock Index Fund
10% Bond Index Fund

Age 45 (Balanced):

50% US Stock Index Fund
15% International Stock Index Fund
30% Bond Index Fund
5% Cash

Age 60 (Conservative):

35% US Stock Index (focus on dividends)
15% International Stock Index
40% Bond Index
10% Cash/Money Market

Age 70 (Retired):

25% US Stock Index (dividend focus)
10% International Stock Index
50% Bond Index
15% Cash/Money Market

7. Common Questions Answered

“Should I sell everything and go to cash?”

No. Here’s why:

What happens if you go to cash now:

  1. You lock in your losses (they become permanent)
  2. You have to decide when to get back in (really hard)
  3. You’ll probably get it wrong (most people do)
  4. You’ll miss the recovery (biggest gains happen fast)

History shows:

  • The best market days happen right after the worst ones
  • Missing the 10 best days over 20 years cuts your returns in half
  • People who sell in a panic almost never get back in at the right time

Better approach:

  • Reduce stock exposure by 10-20% if you’re worried
  • Keep the rest invested
  • Buy more quality stocks if prices drop further

“Should I stop contributing to my 401(k)?”

Absolutely not. This is the worst time to stop.

Think about it:

  • Your contributions buy MORE shares when prices are lower
  • Your company match is free money (never turn that down)
  • You’re dollar-cost averaging automatically

Example:

  • Before: $100 buys 1 share at $100
  • During crisis: $100 buys 1.18 shares at $85
  • After recovery: Those 1.18 shares are worth $118

You just made 18% extra by buying during the dip!


“What if it gets worse than you predicted?”

Then I’ll update this guide. But here’s the thing:

If I’m wrong and it gets much worse:

  • Markets drop 20%+ (full bear market)
  • Takes 18-24 months to recover
  • You’ll still be glad you didn’t panic sell

Historical perspective:

  • Average bear market: -35% drop, 15 months to recover
  • We’ve had 12 bear markets since 1945
  • All 12 recovered and went on to new highs
  • The S&P 500 is up 11,000% since 1945 despite all of them

The question isn’t “Will we recover?” The question is “Can I handle the pain while we do?”

If the answer is “no,” you’re too aggressive and should move to bonds/cash NOW.


“How do I know when to buy?”

The honest answer: You don’t. Nobody does.

But here’s a strategy:

Set price targets now for stocks you want to own:

Example “Buy List”:

Stock Current Price Buy at Great Deal at
Microsoft $420 $380 $350
Apple $225 $200 $180
Johnson & Johnson $156 $145 $135
Coca-Cola $62 $57 $52
S&P 500 Index $5,350 $5,100 $4,800

How to use this:

  • Set limit orders at these prices
  • If they hit, you buy automatically
  • Don’t wait for the “perfect bottom” (you’ll never catch it)
  • Buy in chunks (1/3 at each level if you have cash)

Warren Buffett’s approach: “Be fearful when others are greedy, and greedy when others are fearful.”

Translation: When everyone’s panicking and CNBC is showing red screens all day, that’s when you should be buying.


“What about gold?”

Gold is a legitimate hedge, but don’t go overboard.

Pros:

  • Goes up when people panic
  • Protects against government dysfunction
  • Historically safe in crises

Cons:

  • Doesn’t pay dividends or interest
  • Can be volatile
  • Might underperform if crisis resolves quickly

Reasonable allocation:

  • 5% of your portfolio in gold (via GLD ETF or gold mining stocks)
  • 10% if you’re really worried about government dysfunction continuing
  • Don’t go above 15% (that’s getting extreme)

“Should I refinance my mortgage / take money out of home equity?”

Mortgage rates are still relatively high (6-7%), so probably not unless you’re in trouble.

DO NOT:

  • Take cash out of your home to “invest in the stock market dip”
  • That’s called “leveraging” and it’s really dangerous
  • If stocks drop more, you’ve lost money AND added debt

DO:

  • Make sure you have 3-6 months of expenses in savings
  • Pay down high-interest debt (credit cards)
  • Build emergency fund before investing more

“What if I need to take money out of my portfolio soon?”

Timeline matters:

Need money in < 6 months:

  • Move it to cash/savings NOW
  • Don’t gamble with money you need soon
  • Better to miss gains than need to sell at the bottom

Need money in 6-12 months:

  • Move half to cash, leave half invested
  • You have some time but not much
  • Conservative is better than sorry

Need money in 1-3 years:

  • Keep 50-60% in stocks if you’re comfortable
  • Rest in bonds and some cash
  • You have enough time for modest recovery

Need money in 3+ years:

  • Stay mostly invested (60-70% stocks)
  • You have time to ride this out
  • Short-term drops don’t matter for you

“Are we heading for a recession?”

Maybe. Current odds: ~40-50% for our base case scenario.

What causes recessions:

  • Consumer spending drops (happening due to food stamp cuts)
  • Business investment freezes (happening due to uncertainty)
  • Credit markets seize up (NOT happening)
  • Mass layoffs (NOT happening except in government)

This could cause a “mild recession”:

  • GDP contracts slightly for 2 quarters
  • Unemployment rises from 4.0% to 4.5-5.0%
  • Lasts 6-9 months
  • Not a disaster, just slower growth

This is NOT going to cause a “severe recession”:

  • Banks are healthy
  • Consumers (overall) have money
  • Corporate profits are good
  • Housing market is stable

If we do get a recession:

  • Markets typically bottom 6-9 months before the economy does
  • By the time you “know” it’s a recession, the worst is over for stocks
  • This is why “waiting for clarity” means you miss the recovery

“Should I invest in international stocks instead?”

Maybe a little more, but don’t abandon US stocks.

The argument for international:

  • US political dysfunction is the problem
  • Europe, Asia, etc. are more stable right now
  • International stocks are cheaper (lower valuations)
  • Diversification is good

The argument against going heavily international:

  • US companies are the most profitable in the world
  • Many US companies (Microsoft, Apple, Google) earn half their money internationally anyway
  • Currency risk (dollar fluctuations) adds volatility
  • Past 15 years, US stocks have crushed international

Reasonable approach:

  • If you’re 100% US stocks: Move 10-15% to international
  • If you’re already 20-30% international: Stay there
  • Don’t go above 40% international (that’s overweighting)

Simple fund:

  • Vanguard Total International Stock Index (VXUS)
  • Or: iShares MSCI EAFE ETF (EFA) for developed markets only

“What about crypto / Bitcoin?”

Not relevant to this analysis. Crypto is a speculation, not an investment strategy for this crisis.

Quick take:

  • Bitcoin might go up (people flee to alternatives)
  • Bitcoin might go down (people need cash for expenses)
  • It’s a coin flip, not a hedge
  • If you own crypto, keep it under 5% of your portfolio
  • If you don’t own it, don’t start now as a crisis hedge

“My financial advisor says something different. Who’s right?”

Your advisor knows your situation; this generic analysis does not.

Good reasons your advisor might disagree:

  • They know your age, goals, risk tolerance
  • They know what you own already
  • They might be more optimistic or pessimistic than me
  • Different advisors have different strategies (all can work)

Red flags that your advisor might be wrong:

  • They’re trying to time the market perfectly (“sell everything now, we’ll get back in at the bottom”)
  • They’re pushing you toward expensive actively managed funds
  • They’re making major changes weekly (overtrading)
  • They can’t explain their reasoning simply

What to do:

  • Read this guide
  • Talk to your advisor
  • Ask them to explain their reasoning
  • Make sure it makes sense to you
  • Trust your gut

Remember:

  • No one knows the future
  • Different approaches can both be right
  • The worst thing is doing nothing when you should be defensive
  • The second-worst thing is panicking and selling everything

8. Key Dates to Watch

Here’s when things might change:

November 17-24 (Thanksgiving Week):

  • Most likely time for a deal
  • Holiday travel creates pressure
  • Black Friday retail season
  • If no deal by Thanksgiving, we’re heading to extended scenario

December 8-15 (Holiday Season):

  • Second chance for deal
  • Christmas travel pressure
  • If no deal, we’re in serious trouble

December 17-18 (Federal Reserve Meeting):

  • Fed likely cuts interest rates by 0.25-0.50%
  • This helps stocks a bit
  • But Fed can’t fix political problems

January 1-15, 2026 (Debt Ceiling Crisis):

  • If shutdown goes this long, debt ceiling becomes an issue
  • Treasury runs out of money
  • Could force resolution OR make crisis worse

9. How to Monitor the Situation

Don’t obsess, but check in weekly:

Good sources:

  1. Google News: “government shutdown” (5 minutes of reading)
  2. Yahoo Finance: Check S&P 500 level (1 minute)
  3. This guide: I’ll update it if scenarios change dramatically

Specific signals to watch:

Positive signals (things getting better):

  • ✅ Bipartisan meeting announced
  • ✅ Senate vote shows Democrats might compromise
  • ✅ Food stamps get emergency funding
  • ✅ Courts block most federal layoffs
  • ✅ S&P 500 rallies back toward 5,400

Negative signals (things getting worse):

  • ⚠️ December food stamps also suspended
  • ⚠️ More than 10,000 federal workers laid off
  • ⚠️ Credit rating agencies announce review
  • ⚠️ S&P 500 drops below 5,000
  • ⚠️ Consumer confidence drops below 60

Neutral (just noise):

  • Daily political rhetoric
  • Single-day stock market moves
  • Pundit predictions on cable news

How often to check your portfolio:

  • Under 50: Monthly
  • 50-65: Weekly
  • Over 65: Weekly, but don’t make changes more than monthly

10. The 5 Rules to Get Through This

Rule 1: Don’t Panic Sell

Selling when scared almost always leads to worse outcomes. You lock in losses and miss the recovery.

Instead: Get defensive gradually if needed, but stay mostly invested.


Rule 2: Focus on Quality

When times are uncertain, own companies that can survive anything:

  • Strong balance sheets (low debt)
  • Steady profits
  • Essential products/services
  • Long history

Examples: Microsoft, Johnson & Johnson, Procter & Gamble, Coca-Cola, Berkshire Hathaway


Rule 3: Keep Perspective

Remember:

  • This WILL end (all shutdowns end)
  • Markets WILL recover (they always do)
  • In 5 years, this will be a blip

Ask yourself:

  • Will this company exist in 10 years? (If yes, hold it)
  • Do I need this money in the next 2 years? (If no, don’t sell)
  • Would I buy more at these prices? (If yes, hold what you have)

Rule 4: Have a Plan and Stick to It

Decide now:

  • What allocation you want (% stocks vs. bonds)
  • What price you’ll buy at (set targets)
  • What you’ll do if it gets worse (have a plan)

Then execute your plan mechanically:

  • Don’t let emotions override your strategy
  • Don’t make it up as you go
  • Trust the process

Rule 5: Think Long-Term

10-year perspective:

  • Will you remember this crisis? Barely.
  • Will your portfolio have recovered? Absolutely.
  • Will you regret panic selling? Probably.

The investors who win:

  • Stay disciplined
  • Buy quality on dips
  • Ignore the noise
  • Think in decades, not days

11. Final Thoughts: A Letter to My Past Self

If I could go back to past crises and give advice to myself when I was panicking, here’s what I’d say:

During the 2008 crash: “I know it feels like the world is ending. It’s not. Buy stocks. You’ll be up 300% in 10 years.”

During the 2011 debt ceiling: “The US won’t default. This is politics. It recovers in 6 months.”

During the 2018 shutdown: “This is the longest shutdown ever and it feels terrible. Markets are at new highs 6 months later.”

During the 2020 COVID crash: “I know the world shut down. Buy stocks. This recovers faster than any crash in history.”

Right now in 2025: “This is scary. Food stamps being cut is real. But it ends. The government reopens. Food stamps restore. Life goes on. The S&P 500 is at new highs 12-18 months from now. Your kids will ask you ‘Remember that shutdown?’ and you’ll barely remember the details.”

The pattern is always the same:

  1. Crisis happens
  2. It feels like the world is ending
  3. You have to make decisions with incomplete information
  4. It’s terrifying
  5. Eventually it ends
  6. Markets recover
  7. Life goes on
  8. You’re glad you didn’t panic

This time is not different.

Stay calm. Stay invested. Focus on quality. Think long-term.

You’ve got this.


12. Stay Updated

We will update this guide if the situation changes materially. Check back weekly for updates.

Current status (as of Day 24):

  • ✅ Base Case (Scenario 2) still most likely
  • ⚠️ Watching for Thanksgiving breakthrough or extension
  • 📊 Markets unaffected so far.

Last updated: October 27, 2025


Disclaimer: This is educational information, not personal financial advice. Your situation is unique. Consider consulting a financial advisor who knows your full picture before making major changes. Past performance doesn’t guarantee future results. All investing involves risk including loss of principal. But honestly? The principles here are solid. Stay calm. Stay invested. Focus on quality. Think long-term. That works in every crisis.

The 2025 Government Shutdown: A Multi-Dimensional Risk Framework for Fund Managers

Executive Summary

As the US government shutdown enters its 24th day, fund managers require a sophisticated analytical framework that properly identifies the primary market drivers. This analysis employs a hybrid approach: a 2×3 matrix capturing independent variables (duration × workforce impact), dynamic decision-tree triggers for tactical rebalancing, and regime-change assessment for strategic positioning.

Critical Insight on Causality: The primary equity market risk is not the 5,000-15,000 federal layoffs themselves (only 0.01% of total employment), but rather the SNAP (Supplemental Nutrition Assistance Program, commonly known as “food stamps”) termination affecting 42 million Americans (creating an $8-12 billion monthly consumer spending hole) combined with a duration/uncertainty premium from the longest shutdown in history. The RIF (Reduction in Force – permanent federal employee layoffs) implementation matters primarily as a regime-change signal—proving that shutdowns can be weaponized for government restructuring—which increases future political risk premium. Our base case (30% probability) involves a 6-8 week shutdown with SNAP suspended through November and moderate RIF implementation, suggesting -4% to -6% equity downside driven by consumer spending collapse and uncertainty, not direct employment effects.


0. Introduction: How to Use This Framework

Purpose of This Document

This analysis provides a comprehensive, actionable framework for navigating the 2025 government shutdown crisis. Unlike traditional market commentary that offers a single prediction, this framework recognizes that the situation is evolving and uncertain, requiring both tactical agility and strategic discipline.

0.1 What This Framework Does

This is a decision-support system designed for three distinct but interconnected uses:

  1. Scenario Planning – Understanding the range of possible outcomes and their probabilities
  2. Tactical Portfolio Management – Knowing when and how to adjust positioning as events unfold
  3. Strategic Risk Assessment – Determining if this represents a temporary disruption or permanent regime change

0.2 The Three-Layer Approach

Think of this framework as having three integrated layers that work together:

0.2.1 Layer 1: Scenario Matrix (Parts I-III) – “What Could Happen”

Purpose: Map the complete possibility space

Components:

  • 9 distinct scenarios (A through I) covering short/medium/long duration × minimal/moderate/severe disruption
  • Probability-weighted outcomes (ranging from 1% to 30% likelihood)
  • Quantified market impacts with causal attribution tables
  • Portfolio positioning specific to each scenario

How to use it:

  • Week 1 (now): Read all scenarios to understand the full range
  • Identify your base case (we suggest Scenario E: 30% probability)
  • Prepare contingency plans for adjacent scenarios
  • Update probabilities weekly as events unfold

Key insight: Don’t predict one outcome. Instead, position for the most probable scenario while staying ready to pivot if evidence suggests migration to a different scenario.


0.2.2 Layer 2: Dynamic Decision Tree (Part IV) – “When to Act”

Purpose: Provide specific, measurable triggers for tactical rebalancing

Components:

  • 4 critical trigger points (November 3-10, November 17-24, December 8-15, January 5-12)
  • Observable metrics for each trigger (political events, economic data, market technicals)
  • If-then pathways with specific portfolio actions
  • Rebalancing instructions (exact percentages, sectors, hedges)

How to use it:

  • Set calendar reminders for each trigger point date
  • Monitor the specified indicators (we list exactly what to watch)
  • When trigger conditions are met, execute the prescribed portfolio adjustments
  • Don’t guess or freelance – the framework tells you when certainty is high enough to act

Key insight: This prevents two common errors: (1) Acting too soon based on noise, and (2) Acting too late because you’re waiting for perfect clarity. The triggers are designed to maximize signal-to-noise ratio.

Example of how this works:

You’re at Trigger Point 2 (November 17-24, Thanksgiving week). You observe:

✓ Shutdown continues past Thanksgiving (Day 35+)
✓ December SNAP suspension confirmed
✓ RIF implementation reaches 10,000 total
✓ S&P 500 breaks below 5,000
✓ Credit spreads widen (HY > 400 bps)

The framework tells you: This is Pathway B – migrating from Scenario E (base case) toward Scenario H (extended crisis). Execute immediately:

  • Reduce equity from 57% to 48%
  • Extend duration from 6.5 to 7.5 years
  • Increase gold from 4% to 7%
  • Add hedges (put notional to 6-7%)

No guesswork. The conditions are met. The action is prescribed. You execute.


0.2.3 Layer 3: Regime Assessment (Part V) – “Has the Game Changed”

Purpose: Determine if this is a one-time crisis or a structural shift requiring permanent portfolio changes

Components:

  • 6-dimension scoring system (100 points total) tracking shutdown frequency, duration, workforce impact, service disruption, sovereign credit, and reserve currency behavior
  • Three regime definitions: Traditional (temporary crisis), New Normal (recurring dysfunction), Crisis (institutional breakdown)
  • Monthly monitoring protocol with specific thresholds
  • Portfolio restructuring guides for regime transitions

How to use it:

  • Initial assessment (now): Score the current situation (we calculate 36/100 = 55% New Normal probability)
  • Monthly updates: Re-score based on developments
  • Threshold triggers:
    • Score > 45: Begin implementing New Normal portfolio adjustments
    • Score > 60: Begin implementing Crisis portfolio adjustments
  • Post-resolution review: Final scoring determines if structural changes are permanent

Key insight: This prevents recency bias. Just because a crisis feels scary doesn’t mean the world has changed. The scoring system provides objective criteria for determining if permanent portfolio restructuring is warranted.

Example:

After the shutdown resolves, you score the outcome:

  • Shutdown duration: 52 days → 10 points
  • RIF implementation: 12,000 workers → 12 points
  • SNAP disruption: 2 months → 14 points
  • Sovereign credit: Moody’s negative outlook → 6 points
  • Total: 48 points

Framework conclusion: Score 41-60 range = New Normal regime (65% probability). Implement permanent portfolio adjustments:

  • Reduce US equity concentration (80% → 70% of equity allocation)
  • Add permanent gold allocation (0% → 5%)
  • Reduce return expectations (8-10% → 6-8%)
  • Maintain higher defensive sector weights

This is NOT a tactical trade. This is a strategic recognition that political risk has permanently increased.


0.3 How the Three Layers Work Together

Think of it like flying a plane:

Layer 1 (Scenarios) = Your flight plan

  • You know your destination (base case scenario)
  • You’ve studied alternative routes (adjacent scenarios)
  • You understand possible weather conditions (probability distribution)

Layer 2 (Decision Tree) = Your instruments and autopilot

  • Specific altitudes and speeds for different conditions (trigger points)
  • Clear readings that demand action (observable metrics)
  • Programmed responses to instrument readings (tactical adjustments)

Layer 3 (Regime Assessment) = Long-term flight school training

  • Is this normal turbulence or has the climate changed?
  • Do I need to recertify for different flying conditions?
  • Should I permanently adjust my flight planning assumptions?

You need all three:

  • Scenarios without triggers = Interesting analysis but no action plan
  • Triggers without scenarios = Tactical whiplash, no strategic context
  • Both without regime assessment = Short-term focus, missing structural changes

0.4 The Correct Causal Framework (Critical)

Before you read further, understand this core insight:

Most market participants will incorrectly attribute equity market weakness to federal workforce reductions (RIFs). This is wrong.

The actual causal drivers (quantified):

Factor Mechanism Equity Impact % of Total
SNAP Termination 42M Americans lose $200/month; $12B consumer spending hole -2.5% to -3.5% ~50%
Duration/Uncertainty Longest shutdown in history; business investment frozen -1.5% to -2.0% ~30%
Data Blackout Fed operating blind; policy error risk -0.5% to -1.0% ~10%
RIF Regime Signal Proves shutdown weaponization works; future risk premium -0.5% to -1.0% ~10%

Why RIFs are NOT the primary driver:

  • 5,000-15,000 federal jobs = 0.01% of total US employment (quantitatively trivial)
  • Even with 2-3x multiplier effects = 15,000-45,000 total jobs = still only 0.03% of employment
  • Monthly payroll report natural volatility is ±150K-200K (3-5x larger than RIF impact)

Why RIFs DO matter (for Layer 3 regime assessment):

  • They prove that shutdowns can be used for permanent government restructuring
  • They signal future shutdown probability increases
  • They raise the long-term political risk premium
  • But they don’t explain near-term equity drawdowns

Why SNAP matters enormously:

  • $12 billion monthly consumer spending hole is quantitatively significant
  • Concentrated in specific sectors (discount retail, QSR, grocery)
  • Immediate, direct hit to corporate earnings
  • This is what’s actually driving stock prices down

Throughout this document, you’ll see this causal framework consistently applied. When you see a -6% equity drawdown in Scenario E, the attribution table shows SNAP driving ~50% of that decline, not RIFs.


0.5 Who Should Use This Framework

Primary audience:

  • Portfolio managers at investment firms
  • Chief investment officers
  • Wealth management advisors
  • Institutional asset allocators
  • Family office investment teams

Secondary uses:

  • Risk management teams (stress testing)
  • Investment committees (decision support)
  • Client communication (explaining positioning)
  • Performance attribution (explaining returns)

What you need to use this effectively:

  • Authority to adjust portfolio allocations
  • Weekly monitoring capacity
  • Ability to execute tactical trades (equity, fixed income, hedges)
  • Client base that understands active management

What you DON’T need:

  • A crystal ball (the framework is designed for uncertainty)
  • Perfect market timing ability (the triggers do this for you)
  • Macro forecasting expertise (the scenarios are pre-built)

0.6 How to Implement This Week-by-Week

0.6.1 Week 1 (Current – Day 24)

Read:

  • Full document (yes, all 85,000 words – it’s worth it)
  • Focus especially on Scenarios E and F (most likely outcomes)
  • Review Trigger Point 1 metrics (November 3-10)

Do:

  • Assess your current portfolio vs. Scenario E recommendations
  • Implement base case positioning if not already there:
    • Equity: 57% (from 65% neutral) – 8% underweight
    • Sectors: Overweight defensives (+4% Healthcare, +3% Staples, +2% Utilities)
    • Duration: 6.5 years (above neutral 5.5)
    • Hedges: Put spreads 2.5% notional, VIX calls 0.75%
  • Set calendar reminders for trigger points
  • Draft client communication (see Part VI for templates)

Communicate:

  • Email to clients explaining positioning and framework
  • Emphasize: “We’re prepared for multiple outcomes”
  • Set expectations: “Markets likely down another 2-4%, then recover”

0.6.2 Week 2-3 (November 3-17)

Monitor:

  • Trigger Point 1 metrics (listed in Part IV)
  • Daily: S&P 500 level, VIX, credit spreads
  • Weekly: Economic data (what’s available), political developments

Decision points:

  • If Pathway A triggers (resolution signals): Begin adding equity
  • If Pathway C triggers (deterioration): Reduce equity to 52%
  • If Pathway B (stalemate continues): Maintain current positioning

Rebalance:

  • Monthly rebalance to targets (allow 2% drift)
  • Roll hedges if needed (December expiries)

Communicate:

  • Weekly brief email to clients
  • “Situation remains consistent with base case”
  • No changes unless trigger activated

0.6.3 Week 4 (November 17-24) – CRITICAL PERIOD

This is Trigger Point 2 – Thanksgiving Week

Maximum attention required:

  • Monitor political developments hourly if needed
  • Thanksgiving travel chaos could force deal
  • Or: Shutdown continuing past Thanksgiving dramatically increases extended scenario probability

Three possible outcomes:

Outcome A (40%): Deal announced Thanksgiving week

  • Execute Pathway A: Add equity, reduce hedges, take profits on Treasuries
  • Client communication: “Relief rally coming”

Outcome B (40%): Stalemate continues through Thanksgiving

  • Execute Pathway B: Reduce equity to 48-50%, increase gold to 7%, add hedges
  • Client communication: “Moving to extended crisis positioning”
  • This is the most important pivot point in the entire framework

Outcome C (20%): Severe deterioration (RIFs accelerate, Dec SNAP confirmed)

  • Execute Pathway C: Maximum defense (45% equity, 10% gold)
  • Client communication: “Emergency protocol activated”

Do NOT:

  • Wait to see what happens after Thanksgiving to decide
  • The trigger conditions are designed to be evaluated ON November 27
  • If conditions met, execute that day

0.6.4 Week 5-8 (Dec-Jan)

If extended shutdown:

  • Follow Trigger Point 3 (December 8-15) protocols
  • Consider Trigger Point 4 (January 5-12) if it goes that long
  • Weekly client updates become critical

If resolved:

  • Follow recovery positioning guidelines
  • Don’t chase rally, scale in systematically
  • Begin regime assessment scoring

0.6.5 Month 2-3 (Post-Resolution)

Complete Layer 3 regime assessment:

  • Score final outcome on 6 dimensions
  • Calculate regime probabilities
  • Determine if structural portfolio changes warranted

If score < 40:

  • Return to traditional portfolio construction
  • Crisis was temporary, no permanent changes needed

If score 40-60:

  • Implement New Normal adjustments over 6 months
  • Reduce US concentration, add permanent gold allocation
  • Lower return expectations
  • Communicate regime shift to clients

If score > 60:

  • Implement Crisis adjustments immediately
  • Major portfolio restructuring
  • Consider international diversification
  • Significant return expectation reset

0.7 Key Principles for Using This Framework

1. Discipline Over Emotion

  • Follow the trigger points mechanically
  • Don’t override based on “gut feel”
  • The framework is designed to remove emotional decision-making

2. Probabilistic Thinking

  • No scenario has 100% probability
  • Position for the most likely, prepare for alternatives
  • Update probabilities as evidence accumulates

3. Scale of Response Matches Scale of Signal

  • Small changes in probability → small portfolio adjustments
  • Large changes in probability → large portfolio adjustments
  • Don’t under-react to clear signals, don’t over-react to noise

4. Tactical vs. Strategic Clarity

  • Layers 1-2 are tactical (reversible, short-term)
  • Layer 3 is strategic (permanent, structural)
  • Know which you’re doing and why

5. Client Communication is Part of Risk Management

  • Scared clients make bad decisions
  • Proactive communication prevents panic
  • Framework gives you clear narrative
  • Templates provided in Part VI

0.8 What Success Looks Like

You’re using this framework correctly if:

✓ You can articulate which scenario you’re positioned for
✓ You know what metrics would change your mind
✓ You’re making fewer, higher-conviction adjustments
✓ Your clients understand what you’re doing and why
✓ You’re outperforming peers during the crisis
✓ You’re sleeping well at night (the plan is working)

You’re NOT using it correctly if:

✗ You’re making daily portfolio changes based on headlines
✗ You can’t explain your positioning to a client clearly
✗ You’re trying to predict one outcome instead of preparing for multiple
✗ You’re ignoring the trigger points and “trading around” the framework
✗ You’re treating all scenarios as equally likely
✗ You’re confusing tactical adjustments with strategic shifts


0.9 A Note on Precision and Humility

This framework provides precision in the face of uncertainty, but it is not fortune-telling.

What we CAN do:

  • Map the complete possibility space
  • Assign reasonable probabilities based on analysis
  • Quantify market impacts with causal attribution
  • Provide specific triggers for action
  • Offer strategic assessment criteria

What we CANNOT do:

  • Predict exactly which scenario will occur
  • Give you perfect entry and exit points
  • Guarantee outperformance
  • Eliminate all uncertainty
  • Make this crisis feel comfortable

The goal isn’t certainty. The goal is preparedness.

Like a surgeon before a complex operation, we’ve studied the anatomy (scenarios), we have our instruments ready (triggers), and we know what to do if complications arise (regime assessment). But we won’t know exactly how it unfolds until we’re in it.

That’s okay. We’re prepared for the most likely outcomes and ready to adapt if reality diverges from expectations.


0.10 Ready to Begin

You now understand: ✓ What each layer does ✓ How they work together ✓ The correct causal framework (SNAP primary, not RIFs) ✓ How to implement week-by-week ✓ What success looks like

Let’s proceed to the detailed analysis.

Parts I-III walk through each scenario with full market impact quantification. Part IV provides the tactical decision tree with specific trigger points. Part V establishes the regime assessment framework.

Suggested reading order:

  1. Part I: Crisis structure and causality (30 minutes)
  2. Scenario E (base case): Read in detail (45 minutes)
  3. Part IV, Trigger Point 1 & 2: Immediate action items (30 minutes)
  4. Scenarios D, F, H: Adjacent scenarios for contingency planning (1 hour)
  5. Part V: Regime framework (30 minutes)
  6. Remaining scenarios: Reference as needed

Total time investment: 3-4 hours for thorough understanding

This is an investment that will guide decisions over the next 2-4 months. It’s worth the time.

Let’s begin.


1. Part I: Understanding the Crisis Structure and Causal Mechanisms

1.1 The Multi-Dimensional Nature of This Shutdown

The 2025 government shutdown differs fundamentally from historical precedents because it represents the intersection of three independent variables:

Dimension 1: Temporal Duration

  • Short: < 4 weeks (through November 21)
  • Medium: 4-8 weeks (through December 22)
  • Long: > 8 weeks (into 2026)

Dimension 2: Essential Services DisruptionPRIMARY MARKET DRIVER

  • Minimal: SNAP/essential services mostly preserved
  • Moderate: SNAP suspended 1-2 months; significant service degradation
  • Severe: Extended SNAP suspension; widespread service collapse

Dimension 3: Structural Workforce ImpactREGIME SIGNAL, NOT PRIMARY DRIVER

  • Minimal: < 5,000 permanent RIFs (courts block, or administration doesn’t pursue)
  • Moderate: 5,000-15,000 permanent RIFs (proves shutdown can be used for restructuring)
  • Severe: > 15,000 permanent RIFs (comprehensive government downsizing)

Critical Understanding: These dimensions vary independently and have VERY different market impacts:

  • Consumer spending shock from SNAP (42 million Americans × ~$200/month = $8-12B/month) is quantitatively significant for equity markets
  • Direct employment impact of RIFs (5,000-15,000 jobs = 0.01% of employment) is quantitatively trivial for equity markets
  • Signal value of successful RIF implementation is strategically significant for long-term risk premium

Therefore: Equity drawdowns are driven by SNAP/duration, not RIF magnitude. But RIF implementation matters enormously for regime assessment and future risk pricing.

1.2 Genesis: How We Arrived Here

The Immediate Trigger

On September 19, 2025, the House passed a “clean” continuing resolution (217-212) extending funding through November 21. Senate Democrats, lacking the 60 votes to pass their version, refused to support it without:

  1. Extension of enhanced Affordable Care Act premium subsidies expiring December 31, 2025 (affecting ~4 million Americans)
  2. Restrictions on Presidential rescission authority

At midnight October 1, funding lapsed and the shutdown began.

The Deeper Context: Rescissions and DOGE

The July 24, 2025 passage of the Rescissions Act revived a dormant presidential power to permanently cancel appropriated funds. The Department of Government Efficiency (DOGE) has already facilitated 300,000 federal employee departures since January (80% reportedly voluntary). This transforms the shutdown from a temporary funding lapse into a potential mechanism for permanent government restructuring.

Senate Minority Leader Chuck Schumer’s core fear: any negotiated budget could be unilaterally rescinded afterward, making traditional compromise impossible.

Current State (Day 24)

Critical developments establishing the causal mechanisms:

  1. 500,000+ federal workers missed first paycheck (October 25)
    • Creates temporary spending reduction, but historically reversed through back pay
    • Direct market impact: Minimal (furloughs are temporary)
  2. USDA announced SNAP benefits will NOT be issued November 1CRITICAL
    • Affects 42 million Americans (13% of US population)
    • $8-12 billion monthly spending hole
    • Immediate, direct consumer spending shock
    • Direct market impact: SEVERE (this drives equity weakness)
  3. Bureau of Labor Statistics suspended all data collection/releases
    • Fed operating blind
    • Market uncertainty increases
    • Risk premium rises
    • Direct market impact: MODERATE (uncertainty premium)
  4. ~4,000 RIF notices issued (many blocked by court order)
    • Direct employment impact: 0.003% of total employment
    • Direct market impact: MINIMAL
    • Regime signal impact: SIGNIFICANT (proves template works)
  5. No scheduled votes in House; Senate failed 10 consecutive cloture votes
    • Political dysfunction signal
    • Duration uncertainty increases
    • Direct market impact: MODERATE (time premium)

2. Part II: Historical Context and Comparative Analysis

2.1 The Three Major Modern Shutdowns

1995-96 Shutdowns (21 days total)

  • Cause: Clinton vs. Gingrich budget battle
  • Impact: 280,000 furloughs; minimal lasting economic damage
  • Essential Services: Largely maintained; no SNAP suspension
  • Resolution: Republican capitulation after polls showed public blamed them
  • Markets: S&P 500 essentially flat; 10Y Treasury yield -2.2 bps
  • Key lesson: Temporary furloughs don’t drive markets; back pay reverses impact

2013 Shutdown (16 days)

  • Cause: Republican attempt to defund Affordable Care Act
  • Impact: 800,000 furloughs; S&P estimated $24 billion cost, -0.6% Q4 GDP
  • Essential Services: Largely maintained; no SNAP suspension
  • Resolution: Bipartisan Senate negotiations with minor ACA modifications
  • Markets: Brief volatility; consumer sentiment dropped; recovered within 3 months
  • Key lesson: Duration matters, but temporary nature limits damage

2018-19 Shutdown (35 days – longest in history)

  • Cause: Border wall funding dispute ($5.7 billion)
  • Impact: CBO estimated $11 billion total cost ($3 billion permanent); 800,000 furloughs
  • Essential Services: Degraded but functional; SNAP preserved through February via contingency funding
  • Resolution: Trump capitulated after LaGuardia air traffic controller crisis
  • Markets: S&P 500 +10% during shutdown; forward-looking behavior dominated
  • Key lesson: Markets look through temporary disruptions if essential services maintained and employment effects temporary

2.2 What Makes 2025 Different: Four Critical Distinctions

2.2.1 SNAP Termination (PRIMARY MARKET DRIVER)

Past: SNAP benefits continued through contingency funding or short duration Now: USDA explicitly announced NO benefits November 1; 42 million Americans affected

Quantitative Impact:

  • Average SNAP benefit: ~$200/month per person
  • Total monthly spending: $8.4 billion (42M × $200)
  • Multiplier effect: ~1.5x (SNAP recipients spend immediately; high velocity)
  • Total consumer spending hole: $12-13 billion in November

For Context:

  • Total US consumer spending: ~$18 trillion annually ($1.5T/month)
  • SNAP gap: 0.8% of monthly consumer spending
  • But concentrated in low-income retail: grocery, discount retail, restaurants
  • Disproportionate impact on specific companies

Market Impact Mechanism:

  • Retailers with low-income exposure (Walmart, Dollar General, Dollar Tree): Immediate sales decline
  • Consumer discretionary broadly: Wealth effect and confidence hit
  • Earnings estimate cuts: 2-3% for S&P 500 consumer sectors
  • This is quantitatively significant and drives equity weakness

2.2.2 Economic Data Blackout (MODERATE MARKET DRIVER)

Past: Shutdowns delayed data releases but typically resolved before major decisions Now: BLS completely shuttered; Fed making December decision blind

Impact:

  • Fed relying on private data (ADP, ISM, consumer confidence surveys)
  • Policy error risk increases
  • Market participants operating with incomplete information
  • Uncertainty premium required

Market Impact Mechanism:

  • VIX premium: +2-3 points from uncertainty
  • Option skew: Downside puts more expensive
  • Equity risk premium increases: +25-50 bps
  • Moderate but measurable impact

2.2.3 Permanent Layoff Implementation (REGIME SIGNAL, NOT DIRECT DRIVER)

Past: Furloughs were explicitly temporary; all workers received back pay Now: Administration implementing permanent RIFs; ~4,000 notices issued

Critical Distinction on Causality:

Direct Employment Impact (MINIMAL):

  • 5,000-15,000 federal jobs = 0.003% to 0.01% of total US employment (158M)
  • Even with 2-3x multiplier = 15,000-45,000 total jobs lost
  • Still only 0.01% to 0.03% of employment
  • Monthly payroll report volatility (±150K-200K) is 3-5x larger
  • Direct market impact from job losses: NEGLIGIBLE

But Regime-Change Signal (SIGNIFICANT):

  • Proves administration CAN use shutdowns for permanent restructuring
  • Creates repeatable template for future shutdowns
  • Shifts from “temporary disruption” to “governance tool”
  • Changes long-term political risk assessment
  • Increases future equity risk premium by 50-100 bps

Market Impact Mechanism:

  • Not: “15,000 jobs lost → consumer spending ↓ → earnings ↓ → stocks ↓”
  • But: “Shutdown weaponization proven → future shutdowns more likely → political risk premium ↑ → discount rate ↑ → stocks ↓”

This is about future cash flow discounting, not current earnings, which is why it matters despite small direct employment impact.


2.2.4 Duration Beyond Historical Precedent (MODERATE MARKET DRIVER)

Past: Longest shutdown was 35 days (2018-19) Now: Approaching Day 24; no resolution in sight; could exceed 42-60 days

Impact:

  • Business investment decisions delayed (uncertainty)
  • Consumer confidence deteriorates (political dysfunction concerns)
  • Small business lending frozen (SBA backlog)
  • International credibility questions begin

Market Impact Mechanism:

  • GDP drag: 0.1-0.15 percentage points per week
  • At 6-8 weeks: -0.65 to -1.2 percentage points Q4 GDP
  • Earnings impact: -3% to -5% for S&P 500
  • Moderate impact that scales with duration

2.3 Synthesized Causal Model for Equity Impact

For a 6-8 Week Shutdown with SNAP Suspended (Scenario E Base Case):

Factor Mechanism Equity Impact
SNAP Termination $12B/month consumer spending hole; concentrated in retail/discretionary -3.0% to -4.0%
Duration/GDP Drag 0.8% Q4 GDP reduction; 3-5% earnings cuts -1.5% to -2.0%
Data Blackout Fed policy error risk; uncertainty premium -0.5% to -1.0%
Political Dysfunction Sovereign credibility; business investment pause -0.5% to -1.0%
RIF Regime Signal Future shutdown risk premium; discount rate increase -0.5% to -1.0%
Credit Spread Widening IG +25bps, HY +75bps; multiple compression -0.5% to -1.0%
TOTAL -6.5% to -10.0%

Base Case Estimate: S&P 500 -4% to -6% (using mid-range of factors and assuming some offset from Fed easing expectations)

Key Insight: SNAP termination alone could drive half the total equity decline. RIF implementation matters for regime assessment, not direct economic impact.


3. Part III: The Matrix Framework – Six Core Scenarios

Our analytical framework crosses two independent dimensions to generate six materially distinct scenarios. Note: We’ve reframed Dimension 2 to capture what actually drives markets:

3.1 Matrix Structure

Minimal Disruption (SNAP preserved/brief) Moderate Disruption (SNAP suspended 1-2 months) Severe Disruption (Extended SNAP suspension)
Short Duration (< 4 weeks) Scenario A 25% probability Scenario B 10% probability Scenario C 2% probability
Medium Duration (4-8 weeks) Scenario D 15% probability Scenario E 30% probability Scenario F 10% probability
Long Duration (> 8 weeks) Scenario G 3% probability Scenario H 4% probability Scenario I 1% probability

RIF Implementation (Tracked Separately as Regime Indicator):

  • Each scenario includes assessment of likely RIF magnitude
  • But RIF impact on that scenario’s equity market outcome is primarily through regime-change probability, not direct economics
  • We track: < 5,000 (Minimal), 5,000-15,000 (Moderate), > 15,000 (Severe)

4. Scenario A: Short Duration / Minimal Disruption (25% probability)

4.1 Scenario Overview

Characteristics:

  • Shutdown resolves within 4 weeks (by November 21-24)
  • SNAP benefits restored quickly or emergency funding prevents November gap
  • Federal workers receive back pay within days of resolution
  • RIF implementation: < 5,000 (courts block most attempts)

Resolution Catalyst:

  • Thanksgiving travel preparations create acute political pressure
  • SNAP crisis mobilizes public outcry before November 1
  • Moderate Republicans defect, forcing leadership to negotiate
  • Bipartisan compromise: CR through March; ACA subsidies addressed in December
  • Courts issue broad injunctions against RIF implementation

4.2 Economic Impact

Economic Impact:

  • Total shutdown: 28-35 days
  • GDP: -0.3 to -0.4 percentage points in Q4 (85%+ reversible in Q1 via back pay)
  • Consumer spending: Minimal disruption (SNAP gap avoided or very brief)
  • Employment: Temporary disruption only
  • Consumer confidence: Brief dip, rapid recovery

4.3 Market Impact Analysis

Market Impact – Primary Drivers:

  1. Relief Rally Dynamics: Markets had priced -2% to -4% risk; resolution removes overhang
  2. SNAP Preservation: No consumer spending shock materializes
  3. Back Pay Velocity: Federal workers’ deferred consumption released quickly
  4. Uncertainty Resolution: VIX collapses; business investment decisions proceed

Market Response:

  • Equities: S&P 500 +2% to +4% relief rally over 1-2 weeks
    • Cyclicals outperform: Consumer Discretionary, Financials, Industrials
    • Defensives underperform but participate: Healthcare, Staples, Utilities
  • Treasuries: 10-year yield rises 10-15 bps as safe-haven bid unwinds
    • Curve steepens modestly (2s10s: +5 to +10 bps)
  • Credit: Spreads tighten sharply
    • IG: -5 to -10 bps
    • HY: -15 to -25 bps
  • Volatility: VIX drops from ~17-20 to 12-14 (below long-term average)
  • Dollar: Modest strengthening +0.5% to +1.0%
  • Sector Performance (relative to S&P 500):
    • Financials: +3% to +5% (steeper curve; recession risk off)
    • Consumer Discretionary: +2% to +4% (SNAP preservation; back pay boost)
    • Industrials: +2% to +3%
    • Technology: +1% to +2% (participates but less cyclically sensitive)
    • Healthcare: -1% to 0% (defensive positioning no longer needed)
    • Utilities: -2% to -1% (bond proxies underperform)
    • Consumer Staples: -1% to 0%

4.4 Portfolio Positioning

Portfolio Implications:

  • Immediate: Reduce defensive positioning; rotate to cyclicals
  • Equity: Restore to neutral/slight overweight (65-68%)
  • Fixed Income: Shorten duration back to 5.0-5.5 years (lock in gains from rally)
  • Sectors:
    • Underweight Healthcare (back to benchmark -1%)
    • Underweight Staples (back to benchmark -1%)
    • Underweight Utilities (back to benchmark)
    • Overweight Financials (+2%)
    • Overweight Discretionary (+2%)
  • Hedges: Close out; VIX puts expire profitable; take gains
  • Credit: Can extend into BBB rated again; add HY selectively

Regime Assessment:

  • Scenario A supports “Traditional Shutdown Dynamics” regime
  • Increases Traditional probability from 40% to 55%
  • Decreases New Normal probability from 50% to 35%
  • Markets treat this as aberration, not new pattern
  • RIF failure (< 5,000) proves courts can block restructuring, reducing future shutdown utility

4.5 Client Communication

Client Communication:

  • “Resolution came quicker than our base case anticipated”
  • “Markets are rallying on removal of uncertainty”
  • “We’re rotating from defensive back to balanced positioning”
  • “This represents buying opportunity that was quickly resolved”
  • “However, underlying political dysfunction remains—we’re not returning to maximum risk”

Key Risks:

  • False dawn: Temporary CR expires, and same dynamic repeats in Q1 2026
  • Administration may be emboldened to try shutdown again after court losses
  • Political lesson: Public pressure works, so may be tried again when convenient

5. Scenario B: Short Duration / Moderate Disruption (10% probability)

5.1 Scenario Overview

Characteristics:

  • Shutdown resolves within 4 weeks (28-35 days)
  • But SNAP benefits suspended for November (one month gap)
  • Federal workers get back pay
  • RIF implementation: 5,000-10,000 (mixed court rulings; partial success)

Resolution Catalyst:

  • Thanksgiving week political pressure forces breakthrough
  • SNAP crisis creates public outcry; Democrats leverage for concessions
  • Compromise reached: CR through January; emergency SNAP funding for December
  • RIFs proceed in some agencies where courts provide limited relief

5.2 Economic Impact

Economic Impact:

  • Total shutdown: 28-35 days
  • GDP: -0.4 to -0.5 percentage points in Q4 (70% reversible)
  • Consumer spending: November hit from SNAP gap ($12B hole)
    • Concentrated in discount retail, grocery, QSR
    • December recovery as emergency funding restores benefits
  • Employment: Permanent loss of 5,000-10,000 federal jobs (negligible 0.003-0.007% of total)
  • Consumer confidence: Drops to ~65-68 but recovers in December

5.3 Market Impact Analysis

Market Impact – Primary Drivers:

  1. SNAP November Gap: $12B spending hole hits November retail sales
  2. Resolution Relief: December funding restoration provides rebound
  3. Mixed RIF Signal: Partial implementation proves concept works but isn’t comprehensive
  4. Duration Under Control: Resolves before becoming protracted crisis

Market Response:

  • Equities: S&P 500 +0.5% to +1.5% (muted relief rally due to November damage)
    • Initial jump on resolution announcement: +1.5% to +2%
    • Gives back half over following week as November retail data weak
  • Treasuries: 10-year yield rises 5-8 bps (less safe-haven unwind than Scenario A)
  • Credit: Modest tightening
    • IG: -3 to -5 bps
    • HY: -10 to -20 bps
  • Volatility: VIX declines to ~15 (still elevated vs. historical norm)
  • Sector Performance (relative to S&P 500):
    • Mixed response; quality outperforms value despite resolution
    • Discount Retail (DG, DLTR): -3% to -5% (November SNAP data terrible)
    • Grocery (KR, ACI): -1% to -2% (SNAP impact visible)
    • Financials: +1% to +2% (resolution positive)
    • Healthcare: Flat to +1% (maintains defensive premium)

5.4 Portfolio Positioning

Portfolio Implications:

  • Equity: Return to neutral weight (65%), not overweight
  • Duration: Modest reduction to 5.5-6.0 years
  • Sectors:
    • Stay overweight Healthcare (+2%; protective premium justified)
    • Stay overweight Staples (+1%; SNAP impact demonstrates value)
    • Reduce but maintain Utilities overweight (+1%)
    • Return Discretionary to underweight (-1%; November damage real)
  • Hedges: Reduce but don’t eliminate; keep 0.5-1% VIX call allocation
  • Credit: Stay quality-focused; BBB okay but not aggressive

Investment Thesis: This scenario represents “hollow resolution”—immediate crisis ends but structural damage persists. Markets initially rally on shutdown end but re-price over subsequent 2-3 weeks as November retail data confirms SNAP impact was real. December shows recovery but November hole cannot be recovered.

Regime Assessment:

  • Scenario B slightly increases New Normal probability (40% → 45%)
  • RIF implementation of 5,000-10,000 proves template partially works
  • But November SNAP gap also proves this tactic creates real economic damage that limits future use
  • Mixed signal: Shutdowns can work for restructuring but have costs

Key Indicator for This Scenario:

  • Watch November retail sales data (released mid-December typically, but may be delayed)
  • Monitor discount retailer same-store sales
  • Track consumer credit usage (did households borrow to replace SNAP?)

6. Scenario C: Short Duration / Severe Disruption (2% probability)

6.1 Scenario Overview

Characteristics:

  • Shutdown resolves quickly (< 4 weeks, 21-28 days)
  • But SNAP suspended entirely for November + partial December
  • RIF implementation: > 15,000 (courts provide minimal relief; administration aggressive)
  • Unlikely combination requiring special circumstances

Resolution Catalyst (Low Probability Pathways):

Path 1: External Crisis Forces Resolution

  • Major external event (geopolitical crisis, natural disaster, terrorist attack)
  • Requires immediate government functionality
  • But crisis atmosphere also provides political cover for aggressive RIFs
  • Administration trades shutdown end for Congressional acquiescence to restructuring

Path 2: Supreme Court Expedited Ruling

  • SCOTUS takes emergency appeal on RIF authority
  • Rules quickly (within 3 weeks) in administration’s favor
  • Provides legal clarity enabling aggressive implementation
  • But ruling also removes key source of political friction, enabling compromise

Path 3: Democratic Capitulation

  • Democrats conclude SNAP crisis is political disaster
  • Agree to CR without conditions to stop bleeding
  • Administration proceeds with RIFs anyway during resolution chaos

6.2 Economic Impact

Economic Impact:

  • Shutdown: 21-28 days (relatively short)
  • GDP: -0.4 to -0.6 percentage points in Q4 (60% reversible)
  • Consumer spending:
    • November: Full $12B SNAP hole
    • December: Partial recovery (~$6B still missing)
    • Total: $18B spending gap over two months
  • Employment: 15,000-20,000 federal jobs permanently lost
    • But still only 0.01% of total employment
    • Direct impact small; signal value large
  • Consumer confidence: Drops to ~62-65; slow recovery

6.3 Market Impact Analysis

Market Impact – Primary Drivers:

  1. Extended SNAP Gap: Two months of disruption vs. one month creates compounding consumer weakness
  2. RIF Success Signal: Aggressive implementation proves shutdown restructuring template works
  3. Contradictory Forces: Resolution positive offset by structural damage
  4. Regime Shift Confirmed: This path establishes New Normal regime

Market Response:

  • Equities: S&P 500 -1% to +1% (highly confused, volatile response)
    • Initial relief rally on resolution: +2% to +3%
    • Selloff over following 2 weeks as SNAP damage and RIF implications digest: -3% to -4%
    • Net result: Flat to slightly negative
    • High volatility throughout
  • Treasuries: 10-year yield flat to -5 bps (conflicting signals)
    • Resolution argues for higher yields
    • But consumer damage and RIF regime signal argue for lower yields
    • Curve dynamics unstable
  • Credit: Bifurcated response
    • IG: Flat to +5 bps (quality holds, cyclicals widen)
    • HY: +20 to +40 bps (consumer exposure hurts)
  • Volatility: VIX elevated at 18-22 (structural uncertainty)
    • Doesn’t collapse despite resolution
    • Market unsure how to price ongoing regime risk
  • Sector Performance: Highly dispersed
    • Consumer sectors: -5% to -8% (SNAP damage severe)
    • Defensives: Outperform but don’t rally (confusion)
    • Financials: Mixed (resolution positive; recession risk negative)

6.4 Portfolio Positioning

Portfolio Implications:

  • Equity: Neutral weight (65%) with high uncertainty
  • Duration: Maintain 6.0-6.5 years (unclear signal; stay defensive)
  • Sectors:
    • Maintain maximum defensive overweights
    • Avoid consumer discretionary and retail
    • Quality bias critical across all holdings
  • Hedges: Keep in place; this scenario has high follow-on uncertainty
    • Scenario C often migrates to worse scenarios as implications unfold
    • December-January period could see renewed crisis

Regime Assessment:

  • Scenario C definitively establishes New Normal regime (probability: 65%)
  • Proves administration can use shutdowns for comprehensive restructuring
  • Two-month SNAP gap proves tactic has teeth
  • Future probability of shutdown recurrence: High (within 12-18 months)
  • Equity risk premium permanently increases by 75-100 bps

Why Low Probability (2%): This scenario requires contradictory forces:

  1. Political pressure strong enough to force rapid resolution (< 4 weeks)
  2. Yet administration has enough power to implement aggressive RIFs
  3. Courts fail to block RIFs despite pressure for quick resolution
  4. Democrats capitulate despite successfully weaponizing SNAP crisis

Most paths to quick resolution involve political momentum that also constrains RIF implementation. Scenario C requires special circumstances (external crisis, SCOTUS ruling, or Democratic miscalculation) that are unlikely.

If This Scenario Occurs:

  • Treat as regime-defining event
  • Prepare for significantly higher baseline volatility
  • Reduce US home bias in portfolios
  • Increase alternatives allocation (gold, infrastructure)
  • Reset client return expectations (7-8% vs. 10% historical)

7. Scenario D: Medium Duration / Minimal Disruption (15% probability)

7.1 Scenario Overview

Characteristics:

  • Shutdown extends 4-8 weeks (42-56 days, exceeding 2018-19 record)
  • But SNAP benefits largely preserved through creative funding or brief gaps
  • Courts successfully block most RIF implementation (< 5,000 permanent jobs lost)
  • Extended political theater but structural preservation
  • Resembles 2018-19 shutdown dynamics but longer

Resolution Catalyst:

  • Holiday season (Christmas) travel chaos creates forcing mechanism
  • Credit rating agencies signal review, alarming Republican business constituencies
  • Financial markets begin pricing material recession risk
  • Bipartisan “exhaustion compromise” emerges mid-to-late December
  • Both sides claim partial victory through ambiguous language

7.2 Economic Impact

Economic Impact:

  • Shutdown: 42-56 days (longest in history)
  • GDP: -0.6 to -0.8 percentage points in Q4 (but 75% ultimately reversible)
    • Week 1-4: -0.4 percentage points
    • Week 5-8: Additional -0.2 to -0.4 percentage points
  • Consumer spending:
    • Minimal direct SNAP impact (preserved through contingency funding)
    • But indirect impact from federal worker delayed spending
    • Business investment paused during uncertainty period
  • Small business lending: Frozen ($2-3B SBA backlog)
  • Air travel disruptions: Thanksgiving and Christmas periods
  • Tax refund processing: 2026 filing season at risk

7.3 Market Impact Analysis

Market Impact – Primary Drivers:

  1. Duration Risk Premium: Longest shutdown in history creates unprecedented uncertainty
  2. Data Blackout: Fed making December decision essentially blind (50% weight)
  3. Business Investment Pause: Capex decisions delayed across economy
  4. Consumer Confidence: Psychological impact of protracted dysfunction
  5. RIF Failure: Courts blocking restructuring reduces regime-change concerns

Importantly: SNAP largely preserved means no major consumer spending shock. Market impact driven by duration/uncertainty, not direct economic damage.

Market Response:

  • Equities: S&P 500 -3% to -6% from current levels (~5,050-5,200 range)
    • Gradual grind lower as weeks pass without resolution
    • No panic selling; slow bleed from uncertainty
    • Peak-to-trough: -5% to -7% (modest bounce on resolution)
  • Treasuries: 10-year yield 3.80-3.90% (sustained flight to quality)
    • Duration: Quality flight dominates despite long maturity
    • Curve: Flattening as recession concerns mount (2s10s: +10 to +15 bps)
  • Credit Markets:
    • IG spreads: +15 to +25 bps (to ~120-130 bps)
    • HY spreads: +50 to +75 bps (to ~375-400 bps)
    • Primary market slows but doesn’t close
    • Focus shifts to quality
  • Volatility: VIX rises to 20-23 range (elevated but not panic)
  • Dollar: Weakens -1% to -2% (dysfunction concerns)
  • Gold: +3% to +5% (uncertainty hedge)
  • Sector Performance (relative to S&P 500):
    • Utilities: +4% to +6% (bond proxy; defensive)
    • Healthcare: +3% to +5% (defensive; SNAP preservation positive)
    • Consumer Staples: +2% to +4% (defensive)
    • Technology (quality): -1% to +1% (fortress balance sheets hold up)
    • Financials: -4% to -6% (duration, recession risk)
    • Consumer Discretionary: -3% to -5% (uncertainty depresses spending)
    • Industrials: -4% to -6% (capex pause)

7.4 Federal Reserve Response

Fed Response:

  • November: 25 bps cut proceeds (high confidence)
  • December: 25 bps cut likely despite data blackout (relies on private indicators)
    • ADP payrolls, ISM surveys, consumer confidence become primary inputs
    • Powell emphasizes “risks are balanced” and “monitoring situation closely”
    • Forward guidance remains data-dependent but acknowledges fiscal uncertainty
  • January 2026: Likely pause to assess resolution and true economic state

7.5 Portfolio Positioning

Portfolio Implications:

Strategic Allocation (Balanced Growth Portfolio):

  • Equities: 55% (from 65% neutral) — Moderate underweight
    • Large-cap quality: 35%
    • Mid-cap: 10%
    • Small-cap: 5%
    • International: 5%
  • Fixed Income: 35% (from 30% neutral) — Moderate overweight
    • Treasuries: 22% (duration 6.5 years)
    • IG Corporate: 8% (A-rated or better)
    • TIPS: 5%
  • Alternatives: 7%
    • Infrastructure: 3%
    • Gold: 4%
  • Cash: 3%

Sector Allocation (within equity):

  • Healthcare: 15% (vs. 12% benchmark) — +3%
  • Consumer Staples: 9% (vs. 6% benchmark) — +3%
  • Utilities: 5% (vs. 3% benchmark) — +2%
  • Technology: 26% (vs. 28% benchmark) — -2% (quality bias within)
  • Financials: 10% (vs. 13% benchmark) — -3%
  • Consumer Discretionary: 8% (vs. 11% benchmark) — -3%
  • Industrials: 7% (vs. 9% benchmark) — -2%
  • Rest at benchmark

Hedging Strategy:

  • Put spreads: 3% of equity portfolio notional (buy 5% OTM, sell 10% OTM)
  • VIX calls: 0.75% allocation (strikes 22-27)
  • Duration calls: Small position in TLT calls for leverage

Investment Thesis: Scenario D represents traditional shutdown taken to extreme duration. No consumer spending shock (SNAP preserved) and no structural workforce change (RIFs blocked), but protracted uncertainty creates risk premium. Markets grind lower on duration alone, then recover most losses on resolution as fundamental damage is limited.

Regime Assessment:

  • Scenario D modestly increases Traditional regime probability (40% → 45%)
  • RIF blocking reduces future shutdown utility
  • But extreme duration proves system vulnerability
  • Net effect: Slight increase in New Normal (50% → 52%) as duration risk persists

Client Communication:

  • “Extended shutdown creates uncertainty premium in markets”
  • “However, consumer fundamentals intact—SNAP preserved, jobs temporary”
  • “We’re positioned defensively but expect recovery on resolution”
  • “Patience required; don’t panic sell into weakness”
  • “Consider this a buying opportunity at lower levels”

Key Distinction from Scenario E: Courts aggressively protect federal workforce AND creative funding preserves SNAP. Result: Duration drives everything, but impacts are temporary and reversible. This is traditional shutdown mechanics, just longer.


8. Scenario E: Medium Duration / Moderate Disruption (30% probability)

BASE CASE

8.1 Scenario Overview

Characteristics:

  • Shutdown extends 4-8 weeks (45-60 days)
  • SNAP benefits suspended for November; restored December (one-month gap)
  • RIF implementation: 5,000-15,000 permanent (mixed court rulings; partial success)
  • Represents most probable outcome balancing political forces
  • Resolution by mid-to-late December before New Year

Resolution Catalyst:

  • Holiday season creates eventual forcing mechanism (Christmas travel)
  • Both sides claim partial victory:
    • Democrats: Services restored; limited RIF success
    • Republicans: Achieved some workforce reduction; proved template works
  • Credit market stress and business community pressure force compromise
  • Exhaustion and mutual damage assessment leads to bipartisan CR through March 2026

8.2 Economic Impact

Economic Impact:

  • Shutdown: 45-60 days (record-breaking)
  • GDP: -0.65 to -0.90 percentage points in Q4; -0.30 to -0.45 in Q1 (60% ultimately reversible)
    • Duration effect: -0.45 to -0.60 percentage points
    • SNAP effect: -0.20 to -0.30 percentage points (concentrated in November)
  • Consumer spending breakdown:
    • November: $12B SNAP hole creates immediate 0.8% monthly decline
    • December: Partial recovery ($6-8B as benefits restore but lag)
    • January+: Normal resumption
    • Total consumer spending impact: -$18-20B over two months
  • Employment:
    • Permanent federal job losses: 5,000-15,000 (0.003-0.01% of total employment)
    • Direct economic impact: MINIMAL
    • But multiplier effects in DC metro: Additional 10,000-30,000 private sector
    • DC metro area recession: Regional GDP -1.5% to -2.5%
  • Small business: SBA lending backlog significant ($2-3B+)
  • Tax filing season 2026: Processing delays likely
  • Consumer confidence: Drops to ~63-68 range (vs. ~70 currently)

8.3 Market Impact Analysis

Market Impact – Primary Drivers (With Quantified Attribution):

Factor Mechanism Equity Impact % of Total
SNAP Termination (November) $12B monthly spending hole; concentrated in retail/discretionary; immediate sales decline -2.5% to -3.5% ~50%
Duration/GDP Drag 7 weeks × 0.1% = 0.7% Q4 GDP reduction; earnings cuts 3-5% -1.5% to -2.0% ~30%
Data Blackout/Uncertainty Fed blind; policy error risk; VIX premium; business investment pause -0.5% to -1.0% ~10%
RIF Regime Signal Proves shutdown restructuring template; increases future political risk premium -0.5% to -1.0% ~10%
Credit Spread Widening IG +25 bps, HY +75 bps from tighter financial conditions -0.5% to -0.75% ~5%
TOTAL -5.5% to -8.25% 100%

Base Case S&P 500 Target: -4% to -6% (midpoint -5%, range accounts for Fed offset and technical factors)

Critical Insight: Remove the SNAP suspension and this scenario’s equity impact drops from -5% to -2.5% to -3%. The consumer spending shock is the dominant driver.

Market Response:

  • Equities: S&P 500 -4% to -6% from current levels (~5,050-5,150 range)
    • Decline pattern: Gradual over 4-6 weeks (not panic selling)
    • Week 1-2: -1.5%
    • Week 3-4: -1.5% (SNAP concerns mount)
    • Week 5-6: -1% to -2% (duration becomes record-breaking)
    • Peak drawdown: Possibly -6% to -7.5% before modest bounce on resolution rumors
  • Treasuries: 10-year yield 3.75-3.85% (sustained quality flight)
    • Entry point: ~4.05%
    • Bottom: 3.72-3.78% (flight-to-quality low)
    • Resolution bounce: +10-15 bps
    • Curve: Flattens as recession concerns mount (2s10s compresses to +20-30 bps from ~50 bps)
  • Credit Markets:
    • IG spreads: +20 to +30 bps (to ~125-135 bps from ~105 bps)
    • HY spreads: +60 to +90 bps (to ~385-415 bps from ~325 bps)
    • Bifurcation accelerates: Quality holds, cyclicals widen significantly
    • Primary market: Slows materially but doesn’t close (selective issuance)
    • Watch list: Consumer discretionary, retail, regional banks
  • Volatility: VIX sustained 21-26 range
    • Current: ~17
    • Peak: Possibly 28-30 on worst days
    • Average during period: 23-25
    • MOVE index (bond volatility): +15% to +20%
  • Currency: Dollar index -2% to -3% additional decline
    • YTD already -11%; extends to -13% to -14%
    • Questions about reserve status begin in financial press
    • But no panic; orderly decline
  • Commodities:
    • Gold: +3% to +5% (uncertainty hedge; reaches new nominal highs)
    • Crude oil: -5% to -8% (demand concerns from consumer weakness)
    • Copper: -3% to -5% (growth concerns)
  • Sector Performance (Relative to S&P 500 during drawdown):
Sector Performance vs. SPX Primary Driver
Utilities +4% to +6% Bond proxy; inelastic demand
Healthcare +3% to +5% Defensive; recession-resistant
Consumer Staples +2% to +4% Defensive; trade-down benefits some
Technology (quality) -1% to -2% Mega-cap holds up; small-cap tech worse
Communication Services -2% to -3% Ad spending concerns
Materials -3% to -4% Cyclical; demand concerns
Energy -3% to -5% Crude weakness
Industrials -4% to -6% Capex pause; cyclical
Financials -5% to -7% NIM pressure; credit concerns
Consumer Discretionary -6% to -9% SNAP impact direct hit
Regional Banks -10% to -15% DC exposure; deposit concerns; credit

Specific Stock Impact Examples:

Consumer Discretionary (Large Losers):

  • Dollar General (DG): -12% to -18% (maximum SNAP exposure)
  • Dollar Tree (DLTR): -10% to -15% (high SNAP customer base)
  • Target (TGT): -8% to -12% (grocery + discretionary)
  • Ross Stores (ROST): -7% to -10% (off-price retail; trade-down exhausted)
  • Restaurant Brands (QSR): -8% to -12% (QSR hit by SNAP loss)

Financials (Significant Losers):

  • Regional banks with DC exposure: -15% to -25%
  • M&T Bank, CIT Group, etc.
  • Large-cap banks: -6% to -10% (less bad but still cyclical)

Relative Winners (Outperformers):

  • Johnson & Johnson (JNJ): +2% to +4% (defensive; fortress balance sheet)
  • Procter & Gamble (PG): +3% to +5% (defensive staples; pricing power)
  • Coca-Cola (KO): +2% to +4% (inelastic demand; international exposure)
  • Walmart (WMT): -2% to +2% (trade-down beneficiary offsets SNAP loss)
  • Microsoft (MSFT): -1% to +2% (quality defensive growth)
  • NextEra Energy (NEE): +4% to +6% (utility; clean energy insulated)

8.4 Federal Reserve Response

Fed Response:

  • November 6-7 FOMC: 25 bps cut (as expected; 4.50-4.75% → 4.25-4.50%)
    • Rationale: Labor market softening (based on pre-shutdown data)
    • Statement acknowledges shutdown but emphasizes temporary nature
  • December 17-18 FOMC: 25 bps cut despite data blackout (4.25-4.50% → 4.00-4.25%)
    • Most controversial decision: Operating essentially blind
    • Relies heavily on private sector data:
      • ADP payrolls: Shows continued softening
      • ISM services: Drops below 50 (contraction)
      • University of Michigan consumer confidence: Plunges to ~62
      • Initial claims: Regional Fed estimates show surge
    • Powell press conference: “The shutdown is creating temporary economic headwinds. We’re providing support while monitoring carefully.”
    • Dissents possible from hawkish members concerned about easing blind
    • Forward guidance: Data-dependent but leans dovish given fiscal drag
  • January 2026 FOMC: Pause (hold at 4.00-4.25%)
    • Assess resolution impact
    • Wait for data clarity
    • “We’ve provided significant accommodation; now assessing lagged effects”

Impact on Fed Put:

  • Fed constrained by lack of data
  • Cannot provide aggressive support without understanding true economic state
  • But 50 bps of easing does cushion some market decline
  • Fed put still exists but moved lower (SPX ~4,900-5,000 vs. ~5,200 previously)

8.5 Portfolio Positioning

8.5.1 Strategic Asset Allocation

Portfolio Implications (Detailed):

Strategic Allocation (Balanced Growth Portfolio):

  • Equities: 57% (from 65% neutral) — 8% underweight
    • Large-cap quality: 36%
    • Mid-cap: 10%
    • Small-cap: 5%
    • International developed: 6%
  • Fixed Income: 34% (from 30% neutral) — 4% overweight
    • Treasuries: 21% (duration 6.5 years)
    • IG Corporate: 9% (A-rated or better focus)
    • TIPS: 4%
  • Alternatives: 7%
    • Infrastructure: 3%
    • Gold: 4% (increased from 0% normal)
  • Cash: 2% (tactical dry powder)

Sector Allocation (within 57% equity):

Sector Allocation vs. Benchmark Rationale
Healthcare 16% +4% Defensive; recession-resistant; fortress balance sheets
Technology 27% -1% Quality bias within; mega-cap fortress; avoid small-cap
Consumer Staples 9% +3% Defensive; pricing power; inelastic demand
Utilities 5% +2% Bond proxy; monopoly characteristics; 4%+ yields
Financials 10% -3% Avoid regional banks; large-cap only; NIM concerns
Consumer Discretionary 7% -4% SNAP impact zone; significant underweight
Industrials 7% -2% Cyclical; capex pause; avoid govt contractors
Communication Services 7% -1% Advertising concerns; Meta/Google acceptable
Energy 4% 0% Neutral; geopolitical floor offsets demand concerns
Materials 3% 0% Minimal weight; gold miners acceptable
Real Estate 5% +2% Data centers, cell towers; avoid office/DC metro

Specific Quality Screens:

  • Minimum ROE: 15%
  • Debt/EBITDA: < 3.0x
  • Free Cash Flow positive: Required
  • Dividend coverage: 2x+ for dividend payers
  • Minimum market cap: $10B (avoid small-caps)

Holdings to Avoid Entirely:

  • Dollar General (DG), Dollar Tree (DLTR), Big Lots
  • Regional banks with DC metro exposure
  • Consumer finance: Affirm, SoFi, Upstart
  • Government IT contractors: Palantir, SAIC, Leidos, Booz Allen
  • Commercial real estate REITs (especially office, DC metro)
  • Highly leveraged retailers
  • Restaurants with low-income customer base

Core Holdings (Examples):

Healthcare (16%):

  • Johnson & Johnson (JNJ): 3.5% — Fortress balance sheet, diversified, 2.9% yield
  • UnitedHealth (UNH): 3.0% — Market leader, Optum diversification
  • Pfizer (PFE): 2.0% — Undervalued, pipeline, 6%+ yield
  • Eli Lilly (LLY): 2.5% — GLP-1 franchise, premium valuation justified
  • Abbott Labs (ABT): 2.0% — Medical devices, international exposure
  • Amgen (AMGN): 1.5% — Established biotech, profitable, 3.2% yield
  • Remaining 1.5%: Merck, Medtronic, Vertex

Technology (27%):

  • Microsoft (MSFT): 7.0% — Azure, Office365, fortress balance sheet, 0.8% yield
  • Apple (AAPL): 6.0% — Services transition, installed base, 0.5% yield
  • Alphabet (GOOGL): 5.0% — Search durability, cloud, cheap valuation
  • Meta (META): 3.0% — AI investments, cheap valuation, ad cyclical risk
  • Amazon (AMZN): 2.5% — AWS + e-commerce, consumer weakness risk
  • Nvidia (NVDA): 2.0% — AI leader, premium valuation, govt risk
  • Remaining 1.5%: Adobe, Salesforce (quality SaaS only)

Consumer Staples (9%):

  • Procter & Gamble (PG): 2.5% — Personal care, pricing power, 2.4% yield
  • Coca-Cola (KO): 2.0% — Beverage leader, 3.1% yield, recession-proof
  • Walmart (WMT): 2.0% — Trade-down beneficiary, essential retail
  • PepsiCo (PEP): 1.5% — Snacks + beverages, 2.8% yield
  • Costco (COST): 1.0% — Membership model, quality but expensive

Utilities (5%):

  • NextEra Energy (NEE): 1.5% — Clean energy, Florida, 2.6% yield
  • Duke Energy (DUK): 1.0% — Regulated, 4.1% yield
  • Southern Company (SO): 1.0% — Southeast, 3.8% yield
  • American Electric Power (AEP): 0.75% — Midwest, 3.5% yield
  • Remaining 0.75%: Diversified utility holdings

Fixed Income Strategy:

Treasuries (21% of portfolio = 62% of fixed income):

  • Duration target: 6.5 years (above neutral 5.5)
  • Curve positioning: Overweight 7-10 year (belly)
    • 2-year: 10% of Treasury allocation
    • 5-year: 20%
    • 7-year: 30% (overweight)
    • 10-year: 30% (overweight)
    • 30-year: 10% (underweight)
  • Rationale: Flight to quality supports prices; Fed cutting; recession risk

Investment Grade Corporate (9% of portfolio = 26% of fixed income):

  • Quality focus: A-rated or better (75% of allocation)
    • AAA: 15%
    • AA: 25%
    • A: 35%
    • BBB: 25% (only highest-quality BBB; avoid cyclicals)
  • Sector focus:
    • Technology: 30% (MSFT, AAPL bonds; fortress balance sheets)
    • Healthcare: 25% (JNJ, UNH bonds; defensive)
    • Utilities: 20% (regulated; predictable)
    • Consumer Staples: 15% (PG, KO bonds; defensive)
    • Avoid: Financials (below AA), Consumer Discretionary, Industrials
  • Duration: 5-6 years (slightly below Treasuries)

TIPS (4% of portfolio = 12% of fixed income):

  • Inflation protection given Fed easing
  • Duration: 7-8 years (longer than nominal)
  • Breakeven inflation: Currently ~2.2%; attractive if Fed cuts drive reflation post-resolution

8.5.2 Hedging Strategy

Hedging Strategy (Critical Component):

Put Spreads (2.5% of equity portfolio notional = 1.4% of total portfolio):

  • Structure: Buy SPX puts 5% OTM, sell 10% OTM
  • Strikes (assuming SPX ~5,350):
    • Buy: 5,080 puts
    • Sell: 4,810 puts
  • Expiration: December 20, 2025 (post-FOMC, pre-Christmas)
  • Cost: ~1.4% of equity portfolio (~$14 per spread on $100 notional)
  • Payoff: Max $250 per spread if SPX below 4,810 (10% down)
  • Breakeven: SPX ~5,066 (-5.3%)
  • This hedge pays off in our base case scenario

VIX Call Options (0.75% of total portfolio):

  • Structure: Buy VIX call spreads
  • Strikes: Buy VIX 23 calls, sell VIX 30 calls
  • Expiration: December 18, 2025
  • Cost: ~$0.30-0.40 per spread
  • Payoff: Max $7 if VIX > 30
  • Rationale: VIX currently ~17; Scenario E suggests sustained 21-26
  • This hedge should be profitable

Duration Calls (Small position):

  • TLT (20+ year Treasury ETF) call options
  • Provides leveraged duration exposure
  • Very small allocation (0.25% of portfolio)
  • Expiration: January 2026

Total Hedging Cost: ~2% of portfolio

  • Reduces upside in Scenario A/B by ~2%
  • Provides 5-8% downside protection in Scenario E/F
  • Asymmetric payoff justified given risk distribution

8.5.3 Tactical Execution

Tactical Playbook:

Adding Risk (Limit Orders Set in Advance):

  • S&P 500 @ 5,150: Add 1% equity (highest-quality cyclicals)
  • S&P 500 @ 5,050: Add 1.5% equity (begin value tilt)
  • S&P 500 @ 4,950: Add 1.5% equity (aggressive quality value)
  • S&P 500 @ 4,850: Add 2% equity (generational opportunity)
  • 10Y Treasury @ 4.00%: Take duration profits, reduce by 0.5 years
  • 10Y Treasury @ 3.70%: Take significant profits, reduce by 1.0 years

Reducing Risk (Automatic Triggers):

  • If RIF count exceeds 12,000 by November 15 → Scenario F risk → Reduce equity additional 3%
  • If HY spreads exceed 425 bps → Credit stress → Maximum defensive
  • If consumer confidence drops below 60 → Recession likely → Add hedges
  • If S&P breaks 4,700 → Scenario H/I risk → Emergency positioning

Rebalancing Discipline:

  • Weekly monitoring; monthly rebalancing within bands
  • Equity bands: 54% to 60% (current target 57%)
  • Rebalance if drift exceeds 2% from target
  • Exception: Suspend if clear scenario migration

8.5.4 Performance Monitoring

Expected Performance (Scenario E, 6-8 Weeks):

Balanced Portfolio (57% Equity / 34% Fixed Income / 9% Alternatives):

Period Portfolio Return S&P 500 60/40 Benchmark Alpha
During Drawdown (Weeks 1-7) -2.0% to -3.0% -5.0% to -6.0% -3.5% to -4.5% +1.5% to +1.5%
Resolution Rally (Weeks 8-10) +1.5% to +2.5% +2.5% to +4.0% +2.0% to +3.0% -0.5% to -0.5%
Total (10 Weeks) -0.5% to -0.5% -2.5% to -2.0% -1.5% to -1.5% +1.0% to +1.0%
Period Portfolio Return S&P 500 60/40 Benchmark Alpha
Q4 2025 (Oct-Dec) -1.0% to -2.0% -3.0% to -4.0% -2.0% to -3.0% +1.0% to +1.0%
2025 Full Year +7.0% to +9.0% +8.0% to +10.0% +8.5% to +10.5% -1.5% to -1.5%
Q1 2026 (Recovery) +4.0% to +6.0% +5.0% to +8.0% +4.5% to +7.0% -0.5% to -1.0%

Key Insight: Our defensive positioning underperforms in 2025 full year (gave up gains from earlier rally) but outperforms significantly during Q4 crisis period. Over 12-18 months, we expect to be ahead on risk-adjusted basis (higher Sharpe ratio).

Sharpe Ratio Comparison (Estimated):

  • Our Portfolio: 1.2 (strong risk-adjusted returns)
  • 60/40 Benchmark: 0.9 (higher returns but more volatility)
  • S&P 500: 0.8 (highest returns but highest volatility)

8.6 Client Communication

8.6.1 Primary Client Communication

Client Communication:

Proactive Email (Send Early November):

Subject: Positioning for Extended Government Shutdown

Dear [Client Name],

As the government shutdown enters its fourth week, I wanted to update you on our portfolio positioning and outlook.

What’s Happening: The shutdown has now lasted 24 days with no resolution in sight. Unlike past shutdowns, this one involves the suspension of SNAP benefits (food stamps) for 42 million Americans beginning November 1st, creating a significant consumer spending shock. Additionally, the absence of government economic data means the Federal Reserve and market participants are operating with incomplete information.

Our Base Case: We expect the shutdown to last 6-8 weeks total, resolving by mid-to-late December as holiday travel chaos creates political pressure for compromise. This would make it the longest shutdown in US history.

Portfolio Impact: Our base case suggests equity markets could decline 4-6% from current levels, driven primarily by:

  1. Consumer spending shock from SNAP suspension ($12 billion monthly impact)
  2. Extended uncertainty affecting business investment decisions
  3. Economic data blackout complicating Fed policy

How We’re Positioned:

  • Equity: Reduced to 57% (from 65% normal) — 8% underweight
  • Defensive sectors: Overweight Healthcare, Staples, Utilities
  • Consumer sectors: Significantly underweight given SNAP impact
  • Fixed Income: Extended duration to 6.5 years to benefit from quality flight
  • Hedges: Implemented put protection for downside scenarios

What This Means for You:

  • Q4 returns: We expect our portfolio to be -1% to -2%
  • This compares favorably to -2% to -3% for standard balanced portfolios
  • Our defensive positioning is designed to protect during the crisis and participate in recovery
  • For 2025 full year, we still expect +7% to +9% returns

Your Action Items:

  • No action required — portfolio is positioned appropriately
  • Resist urge to sell in panic; defensive positioning already implemented
  • Consider this a buying opportunity; we’ll add to equities at attractive valuations
  • Tax-loss harvesting opportunities available if interested

What We’re Monitoring:

  • SNAP crisis escalation/resolution
  • Thanksgiving travel period (key pressure point)
  • Credit spread widening
  • Federal Reserve messaging

I’m available to discuss this in detail. Please don’t hesitate to reach out with questions.

Best regards, [Your Name]

Follow-Up Communication (Weekly):

  • Brief 2-3 paragraph email
  • Key developments
  • Any positioning changes
  • Reminder of game plan

Client FAQ (Prepared Responses):

Q: “Should we go to cash?” A: “We’ve already reduced equity exposure and moved to defensive positioning. Going to 100% cash would mean missing the recovery, which historically comes quickly after resolution. Our hedges provide downside protection while maintaining upside participation.”

Q: “Is this worse than 2008?” A: “No. 2008 was a financial system crisis with bank failures and frozen credit markets. This is political dysfunction creating temporary economic disruption. The underlying economy and financial system are sound. Markets are down 4-6% vs. -50% in 2008-09.”

Q: “When should we buy?” A: “We’re scaling in gradually. We’ve set limit orders to add equity at S&P 5,150, 5,050, and 4,950. This disciplined approach captures opportunity without trying to perfectly time the bottom.”

Q: “What if it doesn’t resolve?” A: “Our framework includes scenarios for extended shutdowns (8+ weeks) with more severe impacts. If that occurs, we’ll adjust to maximum defensive positioning. However, even the longest shutdown in history (2018-19, 35 days) eventually resolved, and this one will too.”

8.6.2 Regime Assessment

Regime Assessment:

Scenario E increases New Normal regime probability:

  • Before Scenario E: Traditional 40%, New Normal 50%, Crisis 10%
  • After Scenario E: Traditional 30%, New Normal 60%, Crisis 10%

Rationale:

  • 6-8 week shutdown with moderate RIFs proves template works
  • SNAP suspension shows administration willing to inflict real economic pain
  • Duration exceeds 2018-19 record, establishing new precedent
  • Future probability of recurring shutdowns increases to ~40-50% (another within 18 months)

Long-Term Portfolio Adjustments (Post-Resolution): If Scenario E occurs as expected, implement gradual regime-change adjustments:

  • Q1 2026: Reduce US home bias by 3-5% (increase international)
  • Q2 2026: Permanent gold allocation 3-5% (vs. 0% previous)
  • Ongoing: Maintain higher defensive sector weights (+1-2% vs. historical)
  • Permanent: Higher cash buffer (2-3% vs. 0-1% historical)
  • Expectations: Reset client return expectations to 7-8% (vs. 9-10% historical)

8.6.3 Recovery Trajectory and Timeline

Recovery Trajectory (Post-Resolution in Mid-December):

Week 1 Post-Resolution:

  • S&P 500: +2% to +3% (relief rally)
  • Treasuries: Yield +10 to +15 bps (unwind some quality flight)
  • Credit spreads: Tighten 10-15 bps
  • Volatility: VIX drops to ~18-20 (still elevated)

Weeks 2-4 (January):

  • Markets consolidate gains
  • Economic data slowly becomes available
  • SNAP benefits fully restored; December retail sales show recovery
  • S&P 500: Flat to +1% (digesting rally)

Q1 2026:

  • Gradual recovery continues
  • GDP bounces back as back pay hits and SNAP restores
  • But ~40% of shutdown damage proves permanent
  • DC metro area remains weak
  • S&P 500: +4% to +6% for quarter

Full Recovery Timeline: 3-4 Quarters

  • Q1 2026: Partial recovery
  • Q2 2026: Continued recovery but structural damage evident
  • Q3 2026: Near-normal operations
  • Q4 2026: New normal established (with higher political risk premium)

Permanent Structural Changes:

  • Government capacity reduced by 5,000-15,000 positions
  • Services slower; regulatory approvals delayed
  • Small business formation slightly slower (bottlenecks)
  • Infrastructure projects face ongoing delays
  • Output gap: ~0.1-0.2% of GDP permanently (small but measurable)

8.6.4 Scenario E Conclusion


Scenario E Conclusion:

This base case represents the most likely path: A record-breaking shutdown driven primarily by the SNAP termination’s consumer spending shock, combined with extended uncertainty from data blackout and partial RIF implementation that establishes a regime-change precedent. The -4% to -6% equity drawdown is quantitatively justified by the combination of $12B monthly consumer spending hole, GDP drag from duration, and uncertainty premium—NOT by the direct employment impact of 5,000-15,000 federal layoffs.

Our defensive positioning is designed to outperform by 2-4% during the drawdown phase while maintaining sufficient equity exposure to participate in recovery. The hedging strategy provides additional downside protection at reasonable cost.

For clients with long-term horizons, this represents a buying opportunity. For clients with near-term needs, the defensive positioning preserves capital. The key is discipline: Stick to the framework, don’t panic sell, and add to equities at predetermined attractive levels.


9. Scenario F: Medium Duration / Severe Disruption (10% probability)

9.1 Scenario Overview

Characteristics:

  • Shutdown extends 4-8 weeks (45-60 days)
  • SNAP benefits suspended for November AND December (two-month gap)
  • RIF implementation: > 15,000 permanent (possibly 15,000-25,000)
  • Courts largely fail to block administration’s restructuring
  • Resolution occurs but both consumer damage and structural workforce reduction are severe
  • Higher recession risk; potential credit market stress

Resolution Catalyst:

  • Democrats capitulate to restore SNAP and essential services
  • Accept workforce reduction as price for ending consumer crisis
  • Business community and credit markets force pressure (spreads widening, rating agency warnings)
  • Holiday season creates final push
  • Compromise: CR through March, but administration achieves core DOGE restructuring objective

9.2 Economic Impact

Economic Impact:

  • Shutdown: 45-60 days (matches Scenario E duration)
  • GDP: -0.75 to -1.10 percentage points in Q4; -0.40 to -0.60 in Q1 (only 40% reversible vs. 60% in Scenario E)
  • Consumer spending breakdown:
    • November: $12B SNAP hole (full month)
    • December: $12B SNAP hole (second full month)
    • Total: $24B over two months vs. $18B in Scenario E
    • January: Partial restoration; lag effects
    • Cumulative impact: $28-30B consumer spending loss
  • Employment:
    • Permanent federal job losses: 15,000-25,000
    • Direct employment impact: Still only 0.01-0.016% of total employment (minimal)
    • But multiplier effects: 45,000-75,000 total jobs (including private sector/contractors)
    • DC metro area: Deep recession (-2.5% to -3.5% regional GDP)
  • Business impact:
    • Small business formation: Drops significantly (regulatory bottlenecks)
    • SBA lending: Frozen entirely ($4-5B backlog)
    • Infrastructure projects: Major delays compound
    • Federal procurement: Severely disrupted for 12+ months
  • Consumer confidence: Collapses to ~59-63 range (approaching financial crisis levels)
  • National recession risk: 35-40% probability (technical recession Q4+Q1 possible)

9.3 Market Impact Analysis

Market Impact – Primary Drivers:

Factor Mechanism Equity Impact % of Total
Extended SNAP Suspension $24B over two months; compounding consumer weakness; holiday retail disaster -3.5% to -4.5% ~45%
Duration/GDP Drag Same 7 weeks but deeper impact; earnings cuts 5-8% -2.0% to -2.5% ~25%
Severe RIF Regime Signal Major restructuring proven; New Normal regime confirmed; future risk premium jumps -1.0% to -1.5% ~15%
Credit Market Stress IG +35 bps, HY +100 bps; some high-yield issuance frozen; rating concerns -0.75% to -1.25% ~10%
Recession Risk Premium 35-40% recession probability; forward earnings at risk -0.5% to -1.0% ~5%
TOTAL -7.75% to -10.75% 100%

Base Case for Scenario F: S&P 500 -6% to -9% (range ~4,900-5,050 from current ~5,350)

Critical Distinction from Scenario E:

  • SNAP suspension extended from one month to two months (adds -1% to -1.5% equity impact)
  • Severe RIF implementation (adds -0.5% regime premium)
  • Higher recession risk (adds -0.5%)
  • Total incremental impact: -2% to -3% worse than Scenario E

Market Response:

  • Equities: S&P 500 -6% to -9% (~4,900-5,050 range)
    • Decline pattern: More pronounced selloff than Scenario E
    • Week 1-2: -2%
    • Week 3-4: -2% (SNAP November data terrible)
    • Week 5-6: -2% to -3% (December SNAP extension announced; despair)
    • Week 7-8: -1% to -2% (credit stress; recession fears)
    • Peak drawdown: Possibly -9% to -11% before resolution bounce
    • Earnings recession emerges: FY2025 EPS estimates cut 5-8%
    • Multiple compression: P/E drops from ~21x to ~19x
  • Treasuries: 10-year yield 3.60-3.75% (strong quality flight dominates)
    • Entry: ~4.05%
    • Bottom: 3.55-3.65% (significant quality bid)
    • Curve: Sharp flattening; 2s10s inverts to -5 to +5 bps
    • 30-year yield: Drops below 4.20%; long-end outperforms
    • Flight-to-quality overwhelming despite sovereign concerns
  • Credit Markets (Significant Stress):
    • IG spreads: +30 to +45 bps (to ~135-150 bps from ~105 bps)
      • Investment-grade bifurcation extreme: AAA/AA flat; BBB widens 60-80 bps
      • Selective “fallen angel” risk (BBB downgrades to HY)
    • HY spreads: +90 to +130 bps (to ~415-455 bps from ~325 bps)
      • Distressed ratio rises to 10-12%
      • Some HY issuers face refinancing challenges
      • Default rate: Begins accelerating toward 3-4% (from ~2%)
    • Primary market: High-yield effectively closes; IG highly selective
    • Secondary liquidity: Deteriorates, especially in HY
    • Watch list expands: Consumer discretionary, retail, restaurants, regional banks, commercial real estate
  • Volatility: VIX 24-29 range (elevated stress)
    • Current: ~17
    • Average during Scenario F: 26-28
    • Peak: Potentially 32-35 on worst days
    • Realized volatility exceeds implied (VIX underprices risk initially)
    • MOVE index: +20% to +30%
  • Currency: Dollar -3% to -4% (accelerating decline)
    • Reserve currency questions intensify
    • Financial press articles: “Is the Dollar’s Dominance Over?”
    • International reserve managers begin modest diversification (public statements)
  • Commodities:
    • Gold: +5% to +8% (strong safe-haven bid; approaches $2,900-3,000/oz)
    • Crude oil: -8% to -12% (recession fears; demand destruction)
    • Copper: -8% to -12% (Dr. Copper signals recession)
    • Ag commodities: Mixed (SNAP suspension reduces food demand paradoxically)
  • Sector Performance (Relative to S&P 500 during -6% to -9% drawdown):
Sector Absolute Performance vs. SPX Key Driver
Utilities -1% to -3% +5% to +6% Bond proxy; defensive haven
Healthcare -2% to -4% +4% to +5% Recession-resistant; quality
Consumer Staples -3% to -5% +3% to +4% Defensive; but SNAP impact hurts grocery
Technology (mega-cap) -4% to -6% +2% to +3% Fortress balance sheets; international revenue
Communication Services -6% to -8% 0% to +1% Mixed; advertising pressure
Materials -8% to -10% -2% to -1% Cyclical; recession concerns
Energy -9% to -11% -3% to -2% Crude collapse
Real Estate -10% to -12% -4% to -3% Rates, recession; office disaster
Industrials -11% to -13% -5% to -4% Capex collapse; cyclical carnage
Financials -12% to -15% -6% to -6% Credit concerns; NIM pressure; deposit flight
Consumer Discretionary -15% to -18% -9% to -9% SNAP disaster zone; holiday retail collapse

Specific Stock Examples:

Worst Performers:

  • Dollar General (DG): -25% to -35% (two-month SNAP loss; existential threat to model)
  • Dollar Tree (DLTR): -20% to -30% (similar dynamics)
  • Regional banks (DC exposed): -25% to -35% (deposits flee; credit deteriorates; capital concerns)
  • Casual dining chains: -20% to -30% (low-income customer base evaporates)
  • Off-price retail: -15% to -25% (trade-down exhausted; SNAP impact)
  • Commercial REITs (office): -30% to -40% (DC metro area collapse; WFH acceleration)

Relative Winners (Still Down, But Less):

  • Johnson & Johnson (JNJ): -1% to +2% (fortress balance sheet; defensive haven)
  • Procter & Gamble (PG): 0% to +3% (pricing power; essential products)
  • Microsoft (MSFT): -2% to +1% (fortress balance sheet; Azure growth continues)
  • NextEra Energy (NEE): +1% to +4% (utility; clean energy insulated from consumer)
  • Waste Management (WM): -2% to +1% (essential service; recession-resistant)

9.4 Federal Reserve Response

Fed Response:

  • November FOMC: 25 bps cut (as planned)
  • December FOMC: 50 bps cut (emergency-style easing despite data blackout)
    • Rationale: “Consumer spending data from private sources shows significant weakness”
    • “The shutdown is creating more than temporary headwinds; we’re providing accommodation”
    • Powell: “We stand ready to use all our tools to support the economy”
    • Hawkish dissents likely but overruled
    • Forward guidance: Opens door to inter-meeting action if needed
  • January 2026: Likely additional 25 bps cut (unless resolution changes picture)
  • Total H2 2025 easing: 100 bps (vs. 50 bps in Scenario E)

Fed Put Level: Moved down to ~4,700-4,800 (vs. ~5,000 previously)

But Fed Effectiveness Limited:

  • Can’t offset fiscal paralysis with monetary policy
  • Credit transmission mechanism impaired (bank lending standards tighten)
  • Consumer and business confidence collapsed
  • Monetary policy ineffective against political dysfunction

Credit Rating Implications:

  • Moody’s and Fitch place US on negative outlook (not yet downgrade)
  • Rationale: “Political dysfunction is impairing fiscal credibility”
  • Statement: “Extended shutdown with severe service disruption raises concerns about governance”
  • S&P (already AA+) reaffirms but warns of possible further action
  • CDS spreads on US sovereign: Widen from ~15 bps to 25-35 bps
  • International: G7 finance ministers issue statement expressing “concern”

9.5 Portfolio Positioning

9.5.1 Strategic Asset Allocation

Portfolio Implications:

Allocation (More Defensive than Scenario E):

  • Equities: 52% (from 65% neutral) — 13% underweight
    • Large-cap quality only: 40%
    • Mid-cap: 7% (highest quality only)
    • Small-cap: 2% (minimal exposure)
    • International: 3% (reduced; global recession fears)
  • Fixed Income: 36% (from 30% neutral) — 6% overweight
    • Treasuries: 24% (duration 7.0-7.5 years)
    • IG Corporate: 8% (A-rated or better; AAA/AA focus)
    • TIPS: 4%
  • Alternatives: 10%
    • Gold: 6% (major increase for protection)
    • Infrastructure: 4%
  • Cash: 2%

Sector Allocation (within 52% equity):

  • Healthcare: 18% (from 16% in Scenario E) — Maximum defensive
  • Utilities: 7% (from 5% in Scenario E)
  • Consumer Staples: 10% (from 9% in Scenario E)
  • Technology (mega-cap quality): 24% (reduced from 27%; only fortress names)
  • Financials: 7% (reduced from 10%; only JPM, BAC level)
  • Consumer Discretionary: 5% (reduced from 7%; only Amazon, Walmart)
  • All other sectors: Minimal or zero

Risk Management:

  • Put spread notional: 5% of equity portfolio (increased from 2.5%)
  • VIX calls: 1.5% allocation (strikes 26-32)
  • Consider outright long volatility (SVXY short or VXX long)
  • Duration calls: Maintain TLT position
  • Credit protection: Consider HY CDS if accessible

Total Hedging Cost: ~3.5% of portfolio

9.5.2 Investment Thesis and Regime Assessment

Investment Thesis: Scenario F represents “successful restructuring with severe collateral damage.” Two-month SNAP suspension creates real consumer crisis. Markets must re-price both cyclical weakness and structural government reduction. This is NOT temporary disruption—permanent structural change with lasting economic damage.

Regime Assessment:

  • Scenario F definitively establishes New Normal regime
  • New Probability Distribution: Traditional 20%, New Normal 70%, Crisis 10%
  • Severe RIF implementation (15,000-25,000) proves shutdown weaponization works comprehensively
  • Two-month SNAP suspension proves administration willing to inflict major economic pain
  • Future shutdowns: 60-70% probability of recurrence within 18 months
  • Structural portfolio changes required (covered in Part IX)

9.5.3 Recovery Path and Permanent Impact

Recovery Path:

  • More U-shaped than V-shaped
  • Initial resolution rally: +3% to +5% over 2 weeks (relief)
  • But followed by grinding consolidation as structural damage becomes clear
  • Q1 2026: Slow recovery; GDP bounce modest (+0.3-0.5%)
  • Q2 2026: Continued recovery but permanent output loss evident
  • Full recovery timeline: 4-6 quarters
  • Permanent Impact:
    • Government capacity reduced by 15,000-25,000 positions (0.01-0.016% of employment but concentrated impacts)
    • DC metro area permanently impaired (-1% to -2% of regional economy)
    • Small business formation: Structural decline from regulatory bottlenecks
    • Infrastructure projects: Multi-year delays
    • Total permanent GDP loss: 0.15-0.25% (small but measurable)

9.6 Client Communication

Client Communication:

Emergency Client Call/Email:

Subject: Portfolio Update – Extended SNAP Suspension

Dear [Client Name],

I’m reaching out with an important update. The government shutdown has taken a more severe turn with the announcement that SNAP benefits will be suspended for both November AND December, affecting 42 million Americans for two full months. This, combined with significant federal workforce reductions (15,000-25,000 permanent layoffs), moves us from our base case (Scenario E) to a more severe outcome (Scenario F).

What This Means:

  • Consumer spending shock: $24 billion over two months (vs. $12B in base case)
  • Holiday retail season likely to be significantly worse than expected
  • Recession risk increases from 20% to 35-40%
  • Equity markets likely to decline 6-9% total (we’re currently down ~3%)

Portfolio Adjustments:

  • Further reducing equity to 52% (from 57% current, 65% normal)
  • Increasing defensive sectors (Healthcare to 18%, Utilities to 7%)
  • Increasing gold allocation to 6% (major safe-haven position)
  • Adding hedges: Put protection increased to 5% notional

What to Expect:

  • Q4 portfolio return: -3% to -4% (vs. -1% to -2% in base case)
  • This compares to -7% to -10% for standard portfolios
  • Our defensive positioning is providing 4-6% of protection
  • Recovery will take longer (4-6 quarters vs. 3-4 in base case)

Your Action:

  • No action required from you
  • Do NOT panic sell; we’re already maximally defensive
  • This is a political crisis, not a financial system crisis
  • The US has weathered far worse; this will resolve

Key Insight: The extended SNAP suspension is driving the majority of market weakness. This is a consumer spending shock, not an employment crisis. The 15,000-25,000 federal layoffs are quantitatively small (0.01% of total employment) but signal that shutdown weaponization works, which increases long-term political risk.

I’m available for a call if you’d like to discuss in detail.

Best regards, [Your Name]

Probability of Scenario F:

  • Currently: 10%
  • Would increase to 20-25% if:
    • RIF implementation reaches 10,000+ by November 15
    • December SNAP restoration fails to materialize by mid-November
    • Credit spreads accelerate (HY > 400 bps by November 20)

10. Scenario G: Long Duration / Minimal Disruption (3% probability)

10.1 Scenario Overview

Characteristics:

  • Shutdown exceeds 8 weeks (56+ days, into January 2026)
  • But SNAP benefits largely preserved through emergency Congressional action or creative funding
  • Courts successfully block RIF implementation (< 5,000 permanent jobs lost)
  • Low probability scenario with internal contradiction
  • Political stalemate without major economic consequences

Why Low Probability (Internal Contradiction):

This combination is inherently unstable and unlikely:

  1. If shutdown lasts 8+ weeks, it suggests:
    • Administration has political will/power to sustain position
    • Republican unity holds despite pressure
    • Democrats unable to force resolution
  2. But courts blocking RIFs and SNAP preserved suggests:
    • Administration lacks power to implement agenda
    • Legal/institutional constraints effective
    • Economic pain limited, reducing pressure for resolution

These two conditions contradict: If administration is strong enough to sustain 8+ week shutdown despite political costs, courts are unlikely to comprehensively block their objectives. Conversely, if courts/Congress can preserve SNAP and block RIFs, political coalition for ending shutdown would likely form sooner.

Possible Pathways (All Low Probability):

Path 1: Rolling Legal Uncertainty

  • Continuous litigation creates week-by-week uncertainty
  • Some RIFs blocked, others proceed, then reversed, creating chaos
  • Emergency SNAP funding passes via discharge petition or unexpected bipartisan coalition
  • Neither side can claim victory; shutdown continues via inertia

Path 2: Administration Strategic Pivot

  • After achieving partial RIF success, administration decides protracted shutdown without economic leverage is suboptimal
  • Shifts strategy but pride/politics prevent immediate resolution
  • Shutdown continues for face-saving reasons despite achieving core objectives

Path 3: External Intervention

  • Supreme Court takes emergency appeals, creates stay on all RIFs pending resolution
  • International pressure (IMF, G7) creates special circumstances
  • But no immediate crisis forces shutdown end

10.2 Economic Impact

Economic Impact:

  • Shutdown: 56-85 days (would be longest by far, exceeding 2018-19 by 21-50 days)
  • GDP: -0.80 to -1.20 percentage points in Q4; -0.50 to -0.75 in Q1
    • Duration effect alone: ~0.8-1.2 percentage points (8-12 weeks × 0.1%/week)
    • But minimal consumer shock since SNAP preserved
  • Consumer spending:
    • Federal workers’ delayed spending creates drag
    • But no SNAP shock (this is KEY difference from Scenario H)
    • Holiday season disrupted but consumer base intact
    • Business investment frozen during uncertainty
  • Employment: Temporary disruption only (< 5,000 permanent losses)
  • Small business: Major lending freeze ($4-5B SBA backlog)
  • Tax filing season 2026: Severe disruptions likely
  • Consumer confidence: Drops to ~58-62 (political dysfunction concerns dominate)
  • Recession risk: 40-50% (duration alone creates significant damage despite limited direct hits)

10.3 Market Impact Analysis

Market Impact – Primary Drivers:

Factor Mechanism Equity Impact % of Total
Extreme Duration Unprecedented 8-12 weeks; business investment paralyzed; confidence collapse -2.5% to -3.5% ~50%
Data Blackout Fed completely blind for 2-3 months; policy error risk extreme -1.0% to -1.5% ~20%
Political Dysfunction Signal US governance broken; international credibility damaged -0.75% to -1.25% ~15%
Credit Market Uncertainty Duration creates refinancing concerns; spreads widen materially -0.5% to -1.0% ~10%
Holiday Season Disruption Christmas travel chaos; retail uncertainty -0.25% to -0.75% ~5%
TOTAL -5.0% to -8.0% 100%

Note: Impact is LESS than Scenario F despite longer duration because:

  • No SNAP shock (saves ~3% of equity impact)
  • No RIF regime signal (saves ~1%)
  • Markets believe this is temporary dysfunction, not structural change

Market Response:

  • Equities: S&P 500 -5% to -8% (~4,950-5,100 range)
    • Pattern: Slow grind lower as weeks accumulate
    • No panic; just exhaustion and uncertainty
    • Volatility high but not crisis-level
    • Multiple compression: P/E drops to ~19x (from ~21x)
    • Earnings cuts: -3% to -5% (less than Scenario F since consumer intact)
  • Treasuries: 10-year yield 3.55-3.70% (persistent quality flight)
    • Lower than Scenario F despite similar equity weakness
    • Rationale: No credit concerns; pure safe-haven
    • Curve: 2s10s flattens to +5 to +15 bps (recession concerns)
    • 30-year yield: 4.10-4.25% (long duration performs)
  • Credit Markets:
    • IG spreads: +35 to +50 bps (to ~140-155 bps)
    • HY spreads: +100 to +140 bps (to ~425-465 bps)
    • Wider than Scenario F despite less consumer damage
    • Reason: Duration creates refinancing uncertainty; time risk
    • Primary market: Essentially frozen for 2-3 months
    • Corporate treasurers paralyzed; cannot plan
  • Volatility: VIX 26-32 range (elevated, sustained)
    • Higher than Scenario F despite less economic damage
    • Reason: No endpoint visible; uncertainty infinite
    • Option skew extreme (downside puts very expensive)
  • Dollar: -3% to -5% (severe confidence damage)
    • Reserve currency questions intensify
    • “Can’t govern” narrative takes hold internationally
    • But no panic; orderly decline
  • Gold: +6% to +10% (major safe-haven bid plus governance concerns)

Sector Performance:

  • Similar to Scenario E/F but with key differences:
  • Consumer sectors: Less bad (SNAP preserved helps)
  • Defensives: Extreme outperformance (duration + uncertainty)
  • Cyclicals: Severe underperformance (business investment frozen)

10.4 Federal Reserve Response

Fed Response:

  • November: 25 bps cut
  • December: 50 bps cut (aggressive easing given extreme duration)
  • January 2026: 25-50 bps additional (depending on resolution timing)
  • Total easing: 100-125 bps
  • But Fed openly frustrated: “Monetary policy cannot offset political paralysis”

10.5 Portfolio Positioning

10.5.1 Portfolio Allocation

Portfolio Implications:

  • Equity: 50% (from 65% neutral) — Significant underweight
  • Fixed Income: 38% — Maximum safe-haven positioning
    • Treasuries: 26% (duration 7.5 years)
    • IG Corporate: 7% (AA or better only)
    • TIPS: 5%
  • Alternatives: 10%
    • Gold: 7% (major position)
    • Infrastructure: 3%
  • Cash: 2%

10.5.2 Investment Thesis and Critical Monitoring

Investment Thesis: Scenario G represents “maximum dysfunction with limited economic damage.” Markets fall not because of consumer collapse or structural workforce change, but because the US political system appears broken. Duration alone creates recession risk through business investment paralysis.

Critical for Monitoring: If you find yourself in Scenario G after 8 weeks, this is an unstable equilibrium. Watch for migration to:

  • Collapse to Scenario D: Courts continue blocking RIFs; bipartisan coalition forces resolution
  • Escalation to Scenario H: Administration overcomes legal barriers; begins implementing RIFs

10.5.3 Regime Assessment and Key Distinction

Regime Assessment:

  • Scenario G modestly increases New Normal regime (50% → 55%)
  • Extreme duration proves system vulnerability
  • But RIF blocking and SNAP preservation reduce weaponization concerns
  • Mixed signal: System can survive extreme stress but at high cost

Key Distinction: This scenario answers: “What if shutdown goes on forever but nothing structural changes?” Answer: Markets still fall 5-8% from pure dysfunction and uncertainty, but less than scenarios with actual economic damage.


11. Scenario H: Long Duration / Moderate Disruption (4% probability)

11.1 Scenario Overview

Characteristics:

  • Shutdown exceeds 8 weeks, possibly into late January or February 2026
  • SNAP suspended November + December + partial January (2.5 months)
  • RIF implementation: 5,000-15,000 permanent (rolling implementation despite ongoing litigation)
  • Both political will to sustain shutdown AND legal/structural capacity for workforce reduction
  • Prolonged crisis with permanent economic damage
  • Approaches constitutional crisis threshold

Resolution Catalyst:

  • Debt ceiling collision in early 2026 creates forcing mechanism (Treasury exhausts extraordinary measures)
  • International pressure reaches critical mass (G7/G20/IMF interventions)
  • Financial market stress reaches threshold triggering systemic concerns
  • Bipartisan backbench rebellion forces leadership to negotiate
  • Credit rating downgrade catalyzes business community panic
  • One side suffers electoral catastrophe in special elections, forcing strategic retreat

11.2 Economic Impact

Economic Impact:

  • Shutdown: 60-85 days (mid-November to late January/early February)
  • GDP: -1.15 to -1.65 percentage points in Q4; -0.60 to -0.90 in Q1
    • Duration effect: -0.90 to -1.25 percentage points (9-12.5 weeks)
    • SNAP effect (2.5 months): -0.25 to -0.40 percentage points
  • Consumer spending breakdown:
    • November: $12B SNAP hole
    • December: $12B SNAP hole
    • January: $6B partial hole (restored mid-month)
    • Total: $30B consumer spending loss over 2.5 months
    • Compared to: $12B (Scenario E), $24B (Scenario F), $30B (Scenario H)
  • Employment:
    • Permanent federal job losses: 5,000-15,000 (rolling implementation)
    • Direct impact: Still minimal (0.003-0.01% of total employment)
    • But multiplier effects: 15,000-45,000 total job losses
    • DC metro area: Deep recession (-2.5% to -3.5% regional GDP)
    • National unemployment: +0.3 to +0.5 percentage points (to ~4.3-4.5%)
  • Recession: 60-70% probability (technical recession Q4+Q1 highly likely)
    • Q4 GDP: -0.5% to -1.5% (negative)
    • Q1 2026 GDP: -0.2% to -0.8% (negative)
  • Consumer confidence: Collapses to ~55-60 range (financial crisis levels)
  • Business investment: Frozen entirely; capex plans shelved
  • Federal services: Severely degraded; normalized dysfunction
  • Tax filing season 2026: Disaster; major delays likely for April 15 deadline

11.3 Market Impact Analysis

11.3.1 Primary Drivers and Attribution

Market Impact – Primary Drivers:

Factor Mechanism Equity Impact % of Total
Extended SNAP Suspension $30B over 2.5 months; holiday retail disaster; consumer recession -4.0% to -5.0% ~40%
Extreme Duration/GDP 9-12 weeks; recession confirmed; earnings collapse 8-12% -2.5% to -3.5% ~25%
RIF Regime Confirmation Moderate RIFs + extreme duration proves template; New Normal certain -1.0% to -1.5% ~12%
Credit Market Dysfunction IG +55 bps, HY +150 bps; primary market frozen; defaults rising -1.0% to -1.5% ~12%
Sovereign Credit Damage Rating downgrade likely; reserve currency questions; int’l intervention -0.75% to -1.25% ~8%
Fed Policy Error Operating blind for 3 months; cuts may be too much or too little -0.25% to -0.75% ~3%
TOTAL -9.5% to -13.5% 100%

Base Case for Scenario H: S&P 500 -9% to -13% (~4,700-4,900 from current ~5,350)

Critical Mass: This scenario crosses into bear market territory (defined as >10% from peak). At -13%, we’re approaching -20% technical bear market threshold.

11.3.2 Equity Market Response

Market Response:

  • Equities: S&P 500 -9% to -13% (~4,700-4,900 range)
    • Decline pattern: Multi-phase
      • Weeks 1-4: -3% (as Scenario E expected)
      • Weeks 5-8: -3% to -4% (migration from E to H becomes clear)
      • Weeks 9-12: -3% to -6% (panic phase; recession confirmed; credit stress)
    • Bear market threshold approached or breached
    • Earnings recession: FY2025 EPS -8% to -12%
    • FY2026 EPS estimates: Begin getting cut (forward recession priced)
    • Multiple compression: P/E drops to ~17-18x (from ~21x)
    • Correlations: Approach 1.0 across stocks (indiscriminate selling phases)

11.3.3 Fixed Income Response

  • Treasuries: 10-year yield 3.40-3.60% (persistent quality flight despite sovereign concerns)
    • Entry: ~4.05%
    • Low: 3.35-3.50% (extreme flight-to-quality)
    • But volatile: Sovereign concerns create episodic selloffs
    • Curve: Deep inversion; 2s10s goes to -10 to +5 bps
    • 30-year yield: Drops toward 3.90-4.10% (long duration extreme performance)
    • Quality flight dominates credit concerns for most of period

11.3.4 Credit Market Dysfunction

  • Credit Markets (Severe Dysfunction):
    • IG spreads: +45 to +65 bps (to ~150-170 bps from ~105 bps)
      • Bifurcation extreme: AAA/AA +10 bps; BBB +80-100 bps
      • “Fallen angels”: Several BBB names downgraded to HY
      • Some IG issuers withdraw planned offerings
    • HY spreads: +125 to +175 bps (to ~450-500 bps from ~325 bps)
      • Distressed ratio: Exceeds 15% (from ~8% normal)
      • Default rate: Accelerates to 4-6% annual pace
      • Primary market: Completely frozen
      • Secondary liquidity: Poor; bid-ask spreads widen dramatically
    • Leveraged loan market: Stress evident; CLO pricing dislocations
    • Watch list: Consumer discretionary, retail, restaurants, regional banks, commercial real estate, some energy names

11.3.5 Volatility Dynamics

  • Volatility: VIX sustained 28-35+ range
    • Average: 31-33 (extreme stress)
    • Spikes: 40-45+ on worst days (December SNAP extension, rating downgrade, etc.)
    • Realized vol exceeds implied initially; VIX “wrong-way” at first
    • Option market: Extreme put skew; downside protection very expensive
    • MOVE index: +30% to +40% (bond volatility surges)

11.3.6 Currency and Dollar Crisis

  • Currency: Dollar -4% to -6% (reserve currency status openly questioned)
    • International reserve managers: Accelerate diversification (5-8% reduction in USD assets)
    • Financial press: “Dollar’s Dominance Ending” narratives
    • IMF: Special Drawing Rights alternatives discussed publicly
    • But no panic; orderly decline with episodic rallies on safe-haven flows

11.3.7 Commodity Markets

  • Commodities:
    • Gold: +8% to +12% (approaches or exceeds $3,000/oz; monetary concerns + geopolitical premium)
    • Crude oil: -12% to -18% (recession confirmed; demand destruction visible in data)
    • Copper: -15% to -20% (Dr. Copper screaming recession)
    • Ag commodities: Mixed (SNAP suspension paradoxically reduces food demand)

11.3.8 International Market Contagion

  • International Markets:
    • Developed markets (ex-US): -5% to -8% (contagion but less severe)
    • Emerging markets: -8% to -12% (carry trades unwind; USD strength episodes hurt)
    • European markets: Flight-to-quality to German Bunds
    • Japanese markets: Yen strengthens as safe haven

11.3.9 Sector Performance Analysis

  • Sector Performance (Absolute returns during -9% to -13% S&P decline):
Sector Absolute Return vs. SPX Key Drivers
Utilities -2% to -5% +7% to +8% Bond proxy; recession-proof; 4-5% yields attractive
Healthcare -3% to -6% +6% to +7% Defensive; fortress balance sheets; inelastic demand
Consumer Staples -5% to -8% +4% to +5% Defensive but SNAP impact visible in grocery
Technology (mega-cap) -6% to -9% +3% to +4% Quality defensive growth; international revenue; cash
Communication Services -8% to -11% +1% to +2% Mixed; advertising collapse hurts but some defensives
Real Estate -12% to -15% -3% to -2% Rates, recession; data centers okay; office/retail disaster
Materials -13% to -16% -4% to -3% Cyclical carnage; copper collapse
Energy -14% to -17% -5% to -4% Crude collapse; demand destruction
Industrials -15% to -19% -6% to -6% Capex freeze; cyclical recession; government exposure
Financials -16% to -21% -7% to -8% Credit cycle turns; NIM compression; capital concerns
Consumer Discretionary -20% to -25% -11% to -12% SNAP disaster zone; holiday retail collapse; recession

11.3.10 Individual Stock Impact Examples

Specific Stock Examples:

Catastrophic Losers:

  • Dollar General (DG): -35% to -50% (business model breaks; potential bankruptcy discussions)
  • Dollar Tree (DLTR): -30% to -45% (similar dynamics)
  • Regional banks (DC exposed): -40% to -55% (deposit flight; credit losses; capital crisis; some need rescue)
  • Carnival/cruise lines: -35% to -50% (discretionary spending evaporates)
  • Casual dining: -30% to -45% (traffic collapse)
  • Commercial REITs (office/retail): -40% to -60% (DC metro collapse; recession; WFH)
  • Macy’s, Kohl’s, JCPenney: -40% to -60% (department store model broken)

Relative Winners (Still Down, But Outperform):

  • Johnson & Johnson (JNJ): +1% to +4% (flight-to-quality; fortress; 3%+ yield)
  • Procter & Gamble (PG): +2% to +5% (defensive haven; pricing power; essential)
  • Coca-Cola (KO): 0% to +4% (international; defensive; 3.5% yield)
  • Microsoft (MSFT): -3% to +1% (fortress; Azure; international; $200B+ cash)
  • Berkshire Hathaway (BRK.B): -2% to +2% (Buffett safe haven; cash hoard)
  • Waste Management (WM): -1% to +3% (essential service; recession-resistant)
  • NextEra Energy (NEE): +2% to +6% (utility haven; clean energy; Florida exposure)

11.4 Federal Reserve Response

Fed Response (Aggressive but Constrained):

  • November 6-7 FOMC: 25 bps cut (as planned) → 4.25-4.50%
  • December 17-18 FOMC: 50 bps cut (aggressive easing) → 3.75-4.25%
    • Rationale: “Private sector data shows significant economic weakening”
    • “The shutdown is creating more than temporary headwinds”
    • “We will use all our tools to support the economy through this difficult period”
    • Dissents likely from hawks (2-3 members)
    • Forward guidance: “We stand ready to provide additional accommodation as appropriate”
  • Inter-Meeting Action (early January 2026): Possible 25-50 bps emergency cut if crisis deepens
    • Precedent: Fed has done inter-meeting cuts during financial crises
    • Would signal extreme concern
  • January 28-29 FOMC: 25-50 bps cut → 3.25-3.75%
    • Total easing: 100-150 bps in ~10 weeks (extremely aggressive)
    • Powell: “Fiscal policy paralysis requires monetary policy offset”
    • But acknowledges: “There are limits to what monetary policy can achieve”
  • Unconventional Measures Considered:
    • Emergency liquidity facilities (if credit markets freeze)
    • Commercial paper funding facility (CPFF) reactivated
    • Potential coordinated G7 central bank action
    • Term Asset-Backed Securities Loan Facility (TALF) discussions
  • Effectiveness: Limited
    • Monetary policy cannot offset fiscal paralysis
    • Credit transmission mechanism impaired (banks tightening standards)
    • Consumer and business confidence collapsed (rate cuts ineffective)
    • Data blackout means Fed cutting blind (risk of overshooting)

11.5 Systemic Risks and Credit Events

11.5.1 Sovereign Credit Event

  • Moody’s and/or Fitch: Downgrade US sovereign debt
    • From: Aaa/AAA
    • To: Aa1/AA+ or Aa2/AA
    • Rationale: “Political dysfunction has materially impaired fiscal policy credibility and institutional stability”
    • Date: Likely mid-to-late December as shutdown exceeds 60 days
  • S&P: Already at AA+; possible further downgrade to AA
    • Or: Reaffirms AA+ with deepening negative outlook
  • Consequences:
    • CDS spreads on US sovereign: Widen from ~15 bps to 40-60 bps
    • International reserve managers: Accelerate diversification
    • Some institutional mandates require AAA; forced selling of Treasuries (small but visible)
    • Psychological impact > actual impact (most investors don’t care about ratings)
  • International Response:
    • G7 finance ministers: Emergency virtual meeting; issue statement of “grave concern”
    • IMF: Offers “technical assistance” (unprecedented for developed economy)
    • China/Russia: Exploit situation geopolitically and in propaganda
    • European leaders: Question reliability of US commitments (NATO, trade, etc.)

11.5.2 Additional Systemic Risks

Debt Ceiling Collision (High Probability in Scenario H):

  • Treasury extraordinary measures: Exhausted in early-to-mid January 2026
  • Treasury Secretary: Announces payment prioritization plans
    • Interest on debt paid first (avoid default)
    • Social Security, Medicare next
    • Other payments delayed or reduced
  • Constitutional crisis: 14th Amendment discussions intensify
  • Markets: Extreme stress as debt ceiling approaches

Money Market Fund Concerns:

  • T-bill auctions continue but settlement uncertainty
  • Some MMFs experience redemption pressure
  • SEC: Monitoring closely; potential emergency measures
  • 2008 precedent (Reserve Primary Fund “breaking the buck”) remembered

Repo Market Turbulence:

  • Treasury collateral questions create basis widening
  • Fed monitoring; ready to inject liquidity if needed
  • No 2019-level crisis but elevated stress

Hedge Fund/Leveraged Player Stress:

  • Systematic de-leveraging as risk parity strategies hit stops
  • Some hedge funds face redemptions; forced selling
  • Prime broker relationships stressed
  • Margin calls cascade in some pockets

Regional Bank Crisis:

  • Deposit flight from regional banks (especially those with DC exposure or commercial real estate)
  • Some banks may need capital raises or FDIC assistance
  • Mergers accelerate (forced M&A)
  • No systemic crisis but individual institutions at risk

11.6 Portfolio Positioning

11.6.1 Strategic Asset Allocation

Portfolio Implications (Maximum Defensive Positioning):

Allocation (Crisis Positioning):

  • Equities: 45-48% (from 65% neutral) — 17-20% underweight
    • Large-cap quality ONLY: 35-38%
    • Mid-cap: 5-7% (highest quality only; dividend aristocrats)
    • Small-cap: 2-3% (minimal; quality micro-caps only)
    • International: 3% (reduced; recession global)
  • Fixed Income: 40-42% (from 30% neutral) — 10-12% overweight
    • Treasuries: 28-30% (duration 7.5-8.0 years despite sovereign concerns)
    • IG Corporate: 6-7% (AAA and AA only; no BBB)
    • TIPS: 6-5% (inflation protection from monetary response)
  • Alternatives: 12-15%
    • Gold: 8-10% (primary portfolio hedge; safe haven + governance concerns)
    • Infrastructure: 4-5% (real assets; inflation protection)
  • Cash: 3-5% (opportunity fund for generational buying)

Sector Allocation (within 45-48% equity):

  • Healthcare: 22-25% (maximum defensive; recession-proof)
  • Utilities: 10-12% (bond proxy; essential services)
  • Consumer Staples: 15-18% (defensive; essential goods)
  • Technology (select mega-cap): 18-20% (MSFT, AAPL, GOOGL only; fortress balance sheets)
  • ALL other sectors: Zero or near-zero exposure
    • Financials: Only JPM/BAC; 3-5% total
    • Everything else: Avoid

Specific Holdings Philosophy:

  • Only companies that could survive Great Depression
  • Fortress balance sheets: Net cash or minimal debt
  • Dividend history: 25+ years of increases
  • International revenue: 30%+ from outside US
  • Recession-proof business models
  • Market cap: $50B+ (avoid all but largest companies)

Quality Screens (Stringent):

  • ROE: > 18%
  • Debt/EBITDA: < 2.0x (ideally net cash positive)
  • Free cash flow yield: > 4%
  • Dividend coverage: 3x+
  • Earnings stability: < 15% annual variation

11.6.2 Risk Management and Hedging Strategy

Risk Management (Maximum Hedging):

  • Put spreads: 8-10% of equity portfolio notional
    • Structure: Buy SPX puts 7-8% OTM, sell 15% OTM
    • Multiple expiries (December, January, February)
    • Cost: ~5-6% of equity portfolio
  • VIX call options: 2-3% of total portfolio
    • Strikes: 30-40 calls
    • Multiple expiries
  • Long volatility strategies: 0.5-1%
    • VXX calls or similar
    • Tail risk hedges
  • Credit protection: If accessible
    • HY CDS index
    • IG CDS on lower-quality names in portfolio
  • Currency diversification:
    • Increase international bond exposure (hedged or unhedged depending on view)
    • Consider explicit short USD positions (small)

Total Hedging Cost: ~5-7% of portfolio annually

  • Expensive but justified given extreme tail risk
  • Cost is “insurance premium” for capital preservation

11.6.3 Tactical Buying Opportunities

Tactical Playbook (Contrarian Buying):

Despite maximum defensiveness, prepare for opportunistic buying:

Limit Orders (Set Now for Execution):

  • S&P 500 @ 4,900: Add 2% equity (highest-quality cyclicals)
  • S&P 500 @ 4,700: Add 3% equity
  • S&P 500 @ 4,500: Add 4% equity (generational opportunity)
  • S&P 500 @ 4,300: Add 5% equity (once-in-decade opportunity)

Focus Areas for Buying:

  • Mega-cap tech at extreme discounts: MSFT < $350, AAPL < $180, GOOGL < $130
  • Healthcare fortress names: JNJ < $140, UNH < $450
  • Consumer staples: PG < $140, KO < $55
  • Financials (largest only): JPM < $180, BAC < $32

What NOT to Buy Even at Lows:

  • Regional banks (broken business models)
  • Retailers (structural decline accelerating)
  • Commercial REITs (office/retail facing decade of pain)
  • Energy (transition + demand destruction)
  • Anything with leverage > 3x debt/EBITDA

11.7 Client Communication

11.7.1 Emergency Communication Protocol

Client Communication (Critical – Emergency Protocol):

Emergency Client Webinar/Calls:

Subject: Critical Portfolio Update – Extended Crisis

Dear [Client Name],

The government shutdown has entered its third month with severe consequences. I’m reaching out with a critical update on portfolio positioning and our path forward.

Current Situation:

  • Shutdown: 60+ days (longest in US history by far)
  • SNAP suspended: November, December, partial January (42 million Americans)
  • Federal layoffs: 5,000-15,000 (proving shutdown restructuring template works)
  • Recession: Now highly likely (60-70% probability)
  • Credit rating: US downgrade likely/occurred

Market Impact:

  • S&P 500: Down 9-13% from pre-crisis levels
  • Bear market territory approached
  • Credit markets: Severe stress; high-yield frozen
  • Your portfolio: Down 3-5% (outperforming by 6-8%)

Our Positioning (Maximum Defensive):

  • Equity: Reduced to 45-48% (from 65% normal)
  • Only fortress balance sheets: Microsoft, J&J, Procter & Gamble, etc.
  • Fixed Income: 40-42% (heavy Treasury overweight; long duration)
  • Gold: 8-10% (major safe-haven position)
  • Hedges: Substantial downside protection in place

What This Means:

  • Q4 2025: Portfolio return -3% to -5%
  • vs. Standard portfolio: -10% to -15%
  • We are protecting 7-10% of value through defensive positioning
  • 2025 full year: Still expect +4% to +6% (YTD gains offset Q4 loss)

Key Messages:

  1. This is NOT 2008: Not a financial system crisis; political dysfunction only
  2. Your capital is protected: Defensive positioning working as designed
  3. Do NOT panic sell: We’re already maximum defensive
  4. This will resolve: All shutdowns end; this one will too
  5. Opportunity ahead: Setting limit orders to buy quality at generational discounts

What Makes This Different: The 2.5-month SNAP suspension (affecting 42M Americans, $30B spending) is driving market weakness, NOT the 15,000 federal layoffs. This is a consumer spending shock. When SNAP restores, recovery begins.

Recession is Likely But:

  • Different from financial crisis recession (no bank failures)
  • Different from COVID recession (no health crisis)
  • Political recession: Resolves when politics resolves
  • Pent-up demand will drive recovery

Timeline Expectations:

  • Resolution: Likely late January 2026 (debt ceiling forces action)
  • Recovery: Begins immediately on resolution
  • Full recovery: 4-6 quarters
  • Your portfolio: Positioned to participate in recovery while protecting now

Action Items:

  • NO action required from you
  • Do NOT go to 100% cash (would miss recovery)
  • DO consider: Tax-loss harvesting opportunities
  • DO consider: Adding to accounts at lower levels (if you have cash)
  • DO NOT: Make emotional decisions

I’m Here:

  • Available for individual calls
  • Weekly updates will continue
  • Emergency contact: [phone number]

This is a severe crisis but manageable with discipline. Our defensive positioning is working. Stay the course.

Best regards, [Your Name]

Follow-Up Communications:

  • Daily email during worst stress
  • Weekly detailed updates
  • Individual calls for anxious clients
  • Group webinars for education

11.7.2 Client Psychology Management

Client Psychology Management:

Common Client Reactions:

“Should we go to cash?” Response: “We’re already effectively 50% in cash/bonds/gold. Going to 100% cash means missing the recovery, which will be swift when shutdown ends. Our hedges provide further downside protection. This positioning is optimal.”

“This feels like 2008!” Response: “I understand the stress. But this is fundamentally different. In 2008, banks were failing and credit markets froze completely. Now, banks are healthy and credit markets, while stressed, are functioning. This is political dysfunction, not financial system breakdown. Every political crisis in US history has resolved.”

“When should I buy?” Response: “We’re already setting limit orders to add equity at S&P 4,900, 4,700, 4,500, and 4,300. This disciplined approach captures opportunity without trying to time the exact bottom. For you personally, if you have new cash, I recommend scaling in at these levels.”

“What if the government never opens?” Response: “That’s impossible. The debt ceiling forces resolution in January. Treasury runs out of money. Even the most stubborn politicians will compromise when Social Security checks can’t be sent. The question isn’t ‘if’ but ‘when’ and ‘at what cost.’ We’re positioned for the worst case.”

“Why didn’t we go to cash earlier?” Response: “We reduced equity from 65% to 57% in early November as our base case. When the crisis deepened, we reduced further to 45-48%. We can’t perfectly time market tops. What matters is we’re outperforming by 6-8% through defensive positioning. Perfect timing would have gained maybe another 2-3%, but risked missing recovery if we’d been wrong.”

11.8 Performance Attribution and Recovery Outlook

Performance Attribution:

Scenario H Performance (Full Crisis Period, ~10 weeks):

Portfolio Component Return Contribution vs. Benchmark
Equities (45%) -9% to -13% -4.0% to -5.9% +2% (defensives outperformed)
Treasuries (29%) +6% to +9% +1.7% to +2.6% +2% (duration positioning)
IG Corporate (7%) -1% to +1% -0.1% to +0.1% Inline
TIPS (5%) +3% to +5% +0.2% to +0.3% +0.5%
Gold (9%) +8% to +12% +0.7% to +1.1% N/A (benchmark has no gold)
Cash (5%) 0% 0% N/A
Total Portfolio -1.5% to -2.0% +7.5% to +11%
60/40 Benchmark -9% to -13%
S&P 500 -9% to -13%

Key Insight: Despite severe crisis, portfolio down only -1.5% to -2.0% vs. -9% to -13% for benchmark. Defensive positioning protecting 7-11% of capital.

Sharpe Ratio (Crisis Period):

  • Our Portfolio: 0.3 (positive risk-adjusted return despite crisis)
  • 60/40 Benchmark: -0.8 (severe loss)
  • S&P 500: -1.0 (worst)

2025 Full Year Performance (Despite Q4 Crisis):

Period Our Portfolio 60/40 Benchmark Alpha
Q1 2025 +6% +7% -1%
Q2 2025 +4% +5% -1%
Q3 2025 +3% +4% -1%
Q4 2025 (crisis) -2% -10% +8%
2025 Full Year +11% +6% +5%

Despite being defensive in Q4, YTD gains mean clients still have double-digit returns for year.

Regime Assessment:

Scenario H definitively establishes New Normal regime:

Updated Probability Distribution:

  • Before: Traditional 40%, New Normal 50%, Crisis 10%
  • After Scenario H: Traditional 15%, New Normal 75%, Crisis 10%

Rationale:

  • 60-85 day shutdown with 2.5-month SNAP suspension proves administration willing to inflict major economic pain to achieve political objectives
  • Moderate RIF implementation (5,000-15,000) despite extreme legal resistance proves template works
  • US political system proven vulnerable to prolonged dysfunction
  • Future shutdown probability: 70-80% (another within 12-18 months)
  • Shutdowns have transitioned from crisis events to governance tools

Long-Term Portfolio Implications (Post-Resolution Structural Changes):

Once Scenario H resolves, implement permanent regime-change adjustments:

Allocation Shifts (Gradual Implementation over Q1-Q2 2026):

Traditional Balanced Portfolio (65/30/5):

  • Adjust to: 58/32/10 (new normal neutral)
  • US equity: Reduce from 80% to 70% of equity allocation
  • International equity: Increase from 20% to 30%
  • Alternatives: Gold 5%, Infrastructure 5%

Sector Positioning (Permanent Shifts):

  • Maintain defensive sector overweights: Healthcare +2%, Staples +2%, Utilities +1% vs. pre-crisis
  • Permanent underweights: Financials -2%, Discretionary -2%

Fixed Income (Permanent Changes):

  • Target duration: 6.0 years (vs. 5.5 pre-crisis)
  • Quality bias: 70% A-rated or better (vs. 60% pre-crisis)
  • International bonds: 10% of fixed income (vs. 5% pre-crisis)

Risk Management (New Baseline):

  • Permanent tail hedge budget: 1.0-1.5% annually (vs. 0.5% pre-crisis)
  • VIX expectations: 18-20 average (vs. 15-16 historical)
  • Higher cash buffer: 3-5% normal (vs. 0-2% pre-crisis)

Return Expectations (Reset):

  • Balanced portfolio: 6-7% annually (vs. 8-10% historical)
  • Volatility: 14-16% (vs. 10-12% historical)
  • Sharpe ratio: 0.4-0.5 (vs. 0.6-0.8 historical)
  • Downside protection: Priority over upside capture

Client Education (Post-Crisis):

  • “The world has changed; portfolios must adapt”
  • “Higher political risk requires more defensive positioning”
  • “Lower return expectations are cost of capital preservation”
  • “Focus on risk-adjusted returns, not nominal returns”

Recovery Trajectory (Post-Resolution):

Immediate (Week 1 Post-Resolution):

  • S&P 500: +4% to +7% (relief rally; short-covering)
  • Treasuries: Yield +20 to +30 bps (unwind quality flight)
  • Credit spreads: Tighten 20-30 bps immediately
  • VIX: Drops to ~20-22 (still elevated)
  • Gold: Gives back 3-5% (but retains most gains)

Near-Term (Weeks 2-8, February-March 2026):

  • Economic data begins flowing again
  • SNAP fully restored; February consumer spending rebounds
  • Back pay hits; federal workers spend deferred consumption
  • Q4 2025 GDP: Confirmed negative (-0.5% to -1.5%)
  • Q1 2026 GDP: Likely positive but weak (+0.5% to +1.5%)
  • Markets consolidate; S&P 500 +2% to +4% from resolution levels

Medium-Term (Q2-Q3 2026):

  • Consumer spending normalizes
  • Business investment resumes (pent-up demand)
  • Earnings recovery begins: FY2026 EPS growth +5% to +8%
  • S&P 500: +8% to +12% for H1 2026
  • But structural damage evident: DC metro area weak, government capacity reduced

Long-Term (Q4 2026+):

  • New normal established
  • Higher volatility regime persists
  • Shutdowns remain recurring threat
  • Markets price persistent political risk premium (50-75 bps)
  • Output gap: 0.2-0.3% of GDP permanent loss

Full Recovery Timeline: 4-6 quarters from resolution

But recovery is to a “new normal,” not the old status quo. Structural changes persist.


12. Scenario I: Long Duration / Severe Disruption (1% probability)

TAIL RISK / CATASTROPHIC SCENARIO

12.1 Scenario Overview

Characteristics:

  • Shutdown extends 75-100+ days (into February-March 2026 or beyond)
  • SNAP benefits suspended November, December, January, partial February (3-4 months)
  • RIF implementation: > 15,000 permanent (possibly 20,000-30,000+)
  • Debt ceiling breach occurs during shutdown (Treasury payment prioritization)
  • Sovereign credit downgrade (multi-notch)
  • International credibility crisis
  • Constitutional crisis threshold crossed
  • Potential IMF intervention discussed

Why Only 1% Probability:

This scenario requires sustained catastrophic failure across multiple dimensions:

  1. Both political parties maintain positions despite extraordinary costs
  2. Courts fail comprehensively to block RIF implementation
  3. No “circuit breaker” event (no LaGuardia-style crisis forces resolution)
  4. International pressure insufficient
  5. Financial market stress doesn’t trigger stakeholder panic
  6. Debt ceiling collision doesn’t force resolution
  7. No bipartisan rebellion despite electoral consequences

Historical precedent suggests outside pressure eventually forces resolution before reaching these extremes. However, 1% is non-trivial—represents genuine tail risk requiring hedging.

Possible Pathway to Scenario I:

Perfect Storm of Failures:

  • December resolution attempts fail; shutdown continues through holidays
  • January debt ceiling approaches; Treasury begins payment prioritization
  • Credit rating agencies downgrade US (multi-notch)
  • International allies express crisis-level concern
  • Financial markets in severe stress but no systemic freeze (Fed provides liquidity)
  • Administration frames this as “necessary restructuring”; refuses compromise
  • Democrats calculate capitulation worse than continued pain
  • Bipartisan center unable to form working coalition
  • Supreme Court declines emergency intervention or rules slowly
  • February special elections show neither side suffering decisive defeat

12.2 Economic Impact

Economic Impact (Severe Recession):

  • Shutdown: 75-100+ days (mid-November through late February/March)
  • GDP Impact:
    • Q4 2025: -1.50 to -2.50 percentage points (deeply negative GDP growth)
    • Q1 2026: -0.80 to -1.30 percentage points (continued contraction)
    • Technical recession confirmed: Two consecutive negative quarters
    • Annual GDP impact: -0.6% to -0.9% for full year 2026
  • Consumer Spending Breakdown:
    • November: $12B SNAP hole
    • December: $12B SNAP hole
    • January: $12B SNAP hole
    • February: $6-10B SNAP hole (partial month)
    • Total: $42-46B consumer spending loss over 3.5 months
    • For context: 1.2% of total quarterly consumer spending
    • Concentrated impact: Low-income consumers, discount retail, QSR face depression-level conditions
  • Employment:
    • Permanent federal job losses: 20,000-30,000 (0.013-0.019% of total employment)
    • Direct impact: Still relatively small in national context
    • Multiplier effects: 60,000-90,000 total jobs (including contractors, spillover)
    • DC metro area: Depression-level conditions (-4% to -6% regional GDP)
    • National unemployment: Rises +0.5 to +0.8 percentage points (to ~4.5-4.8%)
    • Unemployment duration: Long-term unemployment increases sharply
  • Consumer Confidence:
    • University of Michigan: Collapses to ~50-55 (lowest since 2008-09 financial crisis)
    • Conference Board: Similar collapse
    • Psychological scarring: “Great Recession” level trauma
  • Business Investment:
    • Capex: Down 20-30% as all discretionary spending frozen
    • Hiring: Net negative; layoffs exceed hiring
    • Business bankruptcies: Rise 30-50% above trend
  • Federal Services:
    • Comprehensive degradation accepted as new normal
    • Tax filing season 2026: Catastrophic; April 15 deadline missed for millions
    • Infrastructure: Multi-year project delays cascade
    • Regulatory approvals: Frozen entirely
    • Small business formation: Drops 40-50% due to impossibility of navigating system
  • Recession Severity:
    • Probability: >80% (essentially certain)
    • Depth: Moderate recession (not Great Recession level but significant)
    • Duration: 3-4 quarters of contraction/stagnation
    • Recovery: Slow; L-shaped rather than V-shaped

12.3 Market Impact Analysis

12.3.1 Primary Drivers and Attribution

Market Impact – Primary Drivers:

Factor Mechanism Equity Impact % of Total
Catastrophic SNAP Suspension $42-46B over 3.5 months; consumer recession; retail depression -5.5% to -7.0% ~35%
Severe Recession Two negative quarters; earnings collapse 12-18%; forward estimates cut -4.0% to -5.5% ~27%
Credit Market Dysfunction IG +70 bps, HY +200+ bps; primary frozen; defaults surge; financial stability concerns -2.0% to -3.0% ~15%
Sovereign Credit Crisis Multi-notch downgrade; reserve currency status questioned; international intervention -1.5% to -2.5% ~11%
Debt Ceiling Breach Payment prioritization; constitutional crisis; Social Security/Medicare concerns -1.0% to -2.0% ~8%
Comprehensive RIF Success 20,000-30,000 jobs; New Normal regime certain; permanent higher political risk -0.5% to -1.0% ~4%
TOTAL -14.5% to -21.0% 100%

Base Case for Scenario I: S&P 500 -15% to -20% (~4,300-4,600 from current ~5,350)

This is official bear market territory (>20% from peak). At -20%, we’re matching COVID March 2020 lows and approaching 2022 bear market levels.

12.3.2 Equity Market Response

Market Response (Severe Bear Market):

  • Equities: S&P 500 -15% to -20% (~4,300-4,600 range)
    • Official bear market (>20% decline from peak)
    • Decline pattern: Multi-phase with panic episodes
      • Weeks 1-8: -8% to -10% (progression through Scenarios E→F→H)
      • Weeks 9-12: -4% to -6% (debt ceiling panic; downgrade; despair)
      • Weeks 13-15: -3% to -4% (capitulation; “no end in sight”)
    • Intra-period volatility: Daily moves of ±2-3% common
    • Earnings recession: FY2025 EPS -12% to -18%
    • FY2026 EPS estimates: Cut by 10-15% before recovery
    • Multiple compression: P/E drops to ~16-17x (from ~21x)
    • Correlations: Approach 1.0 across virtually all stocks
    • Market structure: Fragile; flash crashes possible
    • Circuit breakers: May trigger on worst days

12.3.3 Fixed Income Response

  • Treasuries: 10-year yield 3.20-3.50% (complicated dynamics)
    • Quality flight initially dominates: Yield drops to 3.15-3.30%
    • But sovereign downgrade creates episodic selloffs: Spikes to 3.60-3.80%
    • Net: Lower but very volatile
    • Curve: 2s10s deeply inverted (-15 to -5 bps); signals severe recession
    • 30-year yield: Extremely volatile; 3.80-4.40% range
    • Foreign central banks: Some diversify away from Treasuries (visible in TIC data)
    • But Treasury market continues functioning (Fed backstops liquidity if needed)

12.3.4 Credit Market Dysfunction

  • Credit Markets (Severe Dysfunction):
    • IG spreads: +60 to +90 bps (to ~165-195 bps from ~105 bps)
      • Extreme bifurcation: AAA +15 bps; BBB +120-150 bps
      • Multiple “fallen angels” (BBB → BB downgrades)
      • Investment-grade issuance: Essentially frozen except AAA
      • Secondary market: Liquidity poor; bid-ask spreads 2-3x normal
    • HY spreads: +175 to +250 bps (to ~500-575 bps from ~325 bps)
      • Distressed ratio: 18-22% (from ~8% normal)
      • Default rate: Accelerates to 6-8% annual pace (from ~2%)
      • Recovery rates: Drop to 30-40% (from 50-60% normal)
      • Primary market: Completely frozen for 2-3 months
      • Some HY issuers face bankruptcy (unable to refinance)
    • Leveraged Loans: Severe stress
      • CLO market: Pricing dislocations; some tranches trade below par
      • Loan mutual funds: Heavy redemptions; gates possible
    • Watch list expands dramatically:
      • All consumer discretionary and retail
      • Most restaurants
      • Regional banks (several may fail)
      • Commercial real estate (office, retail, some multifamily)
      • Leisure/hospitality
      • Some energy names with leverage
      • Auto suppliers
      • Media/entertainment

12.3.5 Volatility Dynamics

  • Volatility (Extreme):
    • VIX: Sustained 35-50+ range
      • Average: 42-45 (crisis level)
      • Spikes: 60-70+ on worst days (approaches 2008/2020 COVID levels)
      • VIX futures curve: Steep backwardation
      • Option market: Extreme skew; puts 50-100% more expensive than calls
    • MOVE Index: +50% to +70% (bond market volatility extreme)
    • Realized volatility: Exceeds implied for extended period

12.3.6 Currency and Dollar Crisis

  • Currency (Dollar Crisis Narrative):
    • Dollar Index: -6% to -9% (severe decline; -17% to -20% YTD total)
    • Reserve currency status: Openly questioned in serious financial press
    • International reserve managers:
      • Accelerate diversification (10-15% reduction in USD asset allocation over 6 months)
      • Public statements about “prudent risk management”
    • Alternative discussions:
      • IMF Special Drawing Rights (SDR) basket expansion discussed
      • Regional currency unions (Asia, Gulf) gain momentum
      • Euro: Benefits as alternative; EUR/USD to 1.15-1.18
      • Chinese yuan: Internationalization accelerates
    • But no panic/collapse: Orderly decline, not crisis
    • Dollar retains reserve status but with reduced dominance

12.3.7 Commodity Markets

  • Commodities:
    • Gold: +12% to +20% (approaches or exceeds $3,100-3,200/oz)
      • Monetary metal status + safe haven + geopolitical risk
      • Central banks: Accelerate gold purchases
      • Retail investors: Surge in gold ETF holdings
    • Silver: +15% to +25% (leveraged gold exposure)
    • Crude oil: -15% to -25% (recession; demand destruction clear in inventory data)
      • WTI: Could drop to $55-65/barrel
    • Copper: -20% to -28% (Dr. Copper screaming severe recession)
    • Agriculture: Mixed; SNAP paradox (lower food demand despite need)

12.3.8 International Market Contagion

  • International Markets (Contagion):
    • Developed Markets (ex-US): -8% to -12%
      • Europe: Flight to German Bunds; equity markets stressed
      • Japan: Yen strengthens dramatically (safe haven); equity markets -6% to -10%
      • UK: FTSE -7% to -11%
    • Emerging Markets: -12% to -18%
      • Carry trades unwind violently
      • Dollar strength episodes hurt despite overall decline
      • EM bonds: Spreads widen 150-250 bps
      • Capital flight to developed markets
    • China: -8% to -12% (recession contagion; export decline)

12.3.9 Sector Performance Analysis

  • Sector Performance (Absolute Returns During -15% to -20% S&P Decline):
Sector Absolute Return vs. SPX Characteristics
Utilities -4% to -8% +11% to +12% Maximum defensive haven; bond proxy; essential services
Healthcare -5% to -9% +10% to +11% Recession-proof; fortress balance sheets; inelastic demand
Consumer Staples -8% to -12% +7% to +8% Defensive but SNAP impact visible; grocery margins compressed
Technology (mega-cap) -9% to -13% +6% to +7% Fortress balance sheets; international revenue; quality flight
Communication Services -12% to -16% +3% to +4% Mixed; ad collapse hurts; infrastructure holds up
Real Estate -18% to -23% -3% to -3% Rates, recession; data centers okay; office/retail depression
Materials -20% to -25% -5% to -5% Cyclical carnage; copper collapse signals recession
Energy -22% to -28% -7% to -8% Crude collapse; demand destruction; bankruptcies possible
Industrials -23% to -29% -8% to -9% Capex freeze; cyclical depression; government exposure
Financials -25% to -32% -10% to -12% Credit cycle; capital concerns; regional bank failures
Consumer Discretionary -30% to -38% -15% to -18% Depression-level conditions; SNAP disaster; discretionary spending evaporates

12.3.10 Individual Stock Impact Examples

Specific Stock Examples (Catastrophic Scenarios):

Bankruptcies/Near-Bankruptcies:

  • Dollar General (DG): -50% to -70% (bankruptcy likely; business model broken)
  • Dollar Tree (DLTR): -45% to -65% (similar; potential restructuring)
  • Several regional banks (especially DC-exposed): -60% to -80% (FDIC takeovers likely)
  • Mid-tier retailers: -50% to -75% (Macy’s, Kohl’s, JCPenney bankruptcy risk)
  • Casual dining chains: -55% to -75% (multiple bankruptcies likely)
  • Commercial REITs (office): -60% to -80% (some liquidate)
  • Leveraged energy names: -65% to -85% (if oil < $60 sustained)

Severe Distress:

  • Department stores: -50% to -70%
  • Off-price retail: -40% to -60%
  • Cruise lines: -45% to -65%
  • Airlines: -40% to -60%
  • Hotels/gaming: -40% to -60%
  • Auto: -35% to -55%
  • Homebuilders: -40% to -60%

Relative Winners (Still Negative, But Survival Ensured):

  • Johnson & Johnson (JNJ): -2% to +6% (ultimate safe haven; fortress; 3%+ yield)
  • Procter & Gamble (PG): 0% to +7% (defensive aristocrat; pricing power; essential)
  • Coca-Cola (KO): -1% to +6% (international; defensive; 4%+ yield in crisis)
  • Microsoft (MSFT): -5% to +2% (fortress balance sheet; Azure; $200B+ cash; international)
  • Berkshire Hathaway (BRK.B): -3% to +4% (Buffett flight-to-quality; massive cash; insurance float)
  • Waste Management (WM): -2% to +5% (essential service; recession-proof; local monopolies)
  • NextEra Energy (NEE): +1% to +8% (utility haven; clean energy; regulated; Florida)
  • Costco (COST): -5% to +2% (membership model; essential retail; trade-down beneficiary)

12.4 Federal Reserve Response

Fed Response (Emergency Mode):

Rate Cuts (Aggressive):

  • November: 25 bps → 4.25-4.50%
  • December: 50 bps → 3.75-4.25%
  • January (inter-meeting): 50 bps → 3.25-3.75%
  • February: 50 bps → 2.75-3.25%
  • Total: 175 bps in ~12 weeks (fastest easing cycle outside 2008/2020)

Forward Guidance:

  • “We will use all available tools to support the economy”
  • “The FOMC stands ready to provide additional accommodation”
  • “Fiscal policy paralysis requires aggressive monetary response”
  • But Powell acknowledges: “There are limits to monetary policy’s effectiveness”

Unconventional Measures (Deployed):

  1. Emergency Liquidity Facilities:
    • Commercial Paper Funding Facility (CPFF) reactivated
    • Primary Dealer Credit Facility (PDCF) enhanced
    • Money Market Mutual Fund Liquidity Facility if needed
  2. Credit Market Support:
    • Corporate bond purchases discussed (would be unprecedented in non-QE context)
    • High-yield ETF purchases possibly (if systemic risk)
  3. International Coordination:
    • Coordinated G7 central bank action
    • Swap lines with major central banks enhanced
    • Emergency meetings with ECB, BOJ, BOE
  4. Communication:
    • Daily market monitoring statements
    • Emergency inter-meeting announcements
    • Congressional testimony (if Congress ever meets)

Effectiveness: Severely Limited

  • Monetary policy cannot fix political crisis
  • Credit transmission broken (banks not lending)
  • Consumer/business confidence collapsed
  • “Pushing on a string” analogy applies
  • Fed can prevent financial system freeze but not recession

12.5 Systemic Risks and Crisis Events

12.5.1 Sovereign Credit Event (Multi-Notch Downgrade)

Rating Actions:

Moody’s:

  • From: Aaa
  • To: Aa2 or Aa3 (two-notch downgrade)
  • Rationale: “Catastrophic political dysfunction has fundamentally impaired the US government’s creditworthiness and institutional stability”
  • Outlook: Negative (further downgrades possible)
  • Date: Mid-January after 75 days of shutdown + debt ceiling breach

Fitch:

  • From: AAA
  • To: AA or AA- (two-to-three notch downgrade)
  • Similar rationale
  • Date: Late January (after Moody’s)

S&P:

  • Already at AA+ (downgraded 2011)
  • Further downgrade: To AA or AA-
  • Date: Early February

Consequences:

Immediate:

  • CDS spreads on US sovereign: Widen to 60-100 bps (from ~15 bps)
  • Treasury selloff: 10Y yield spikes 30-50 bps in days
  • Some institutional mandates (AAA-only): Forced selling (limited but visible)
  • Money market funds: Restructuring needed (some T-bills no longer qualify)

Medium-Term:

  • International reserve managers: Accelerate diversification
  • Sovereign wealth funds: Reduce USD allocation by 10-15%
  • Foreign central banks: Slow/halt Treasury purchases
  • Corporate treasurers: Diversify away from USD denomination

Long-Term:

  • Reserve currency status: Permanently impaired (not eliminated but reduced)
  • “Exorbitant privilege” reduced
  • Higher borrowing costs for US government (25-50 bps permanently)
  • Dollar loses 10-15% of global trade settlement share over 5 years

Psychological:

  • “US is no longer risk-free” narrative becomes mainstream
  • Political science textbooks rewritten
  • American exceptionalism narrative damaged
  • International confidence in US institutions shaken for generation

12.5.2 International Response (Crisis Intervention)

G7 Emergency Summit (Virtual):

  • Statement of “grave concern”
  • Offer of “technical assistance”
  • Veiled threat of “appropriate measures”
  • Markets interpret as toothless but symbolic

IMF (Extraordinary):

  • Managing Director speech: “Urge US to resolve crisis immediately”
  • Technical mission offered (unprecedented for developed economy)
  • Special Drawing Rights (SDR) alternatives discussed openly
  • Possibility of emergency facility (unthinkable but mentioned)

Individual Countries:

  • Germany: Chancellor expresses “deep concern” about NATO implications
  • Japan: Prime Minister discusses “diversification” of reserves
  • China: Exploits situation for propaganda and geopolitical advantage
  • UK: PM urges “special relationship” to include economic stability

European Union:

  • Euro benefits as alternative reserve currency
  • ECB president: “We stand ready to provide stability”
  • Capital flows to Europe accelerate

12.5.3 Debt Ceiling Crisis (Simultaneous)

Timeline:

  • Early January 2026: Treasury announces extraordinary measures exhausted
  • Mid-January: Payment prioritization begins
    • Tier 1: Interest on debt (avoid default)
    • Tier 2: Social Security, Medicare
    • Tier 3: Military, Veterans
    • Tier 4: Everything else (delayed or cut)

Consequences:

  • Federal contractors: Stop receiving payments
  • IRS refunds: Delayed indefinitely
  • Federal employees: Unpaid beyond shutdown (double hit)
  • Social Security: Delayed by days/weeks (if prioritization fails)
  • Medicare providers: Delayed payments

Constitutional Crisis:

  • 14th Amendment discussions: “Validity of public debt shall not be questioned”
  • Treasury Secretary: Considers minting $1 trillion platinum coin (seriously discussed)
  • Legal scholars: Debate presidential authority to ignore debt ceiling
  • Supreme Court: Emergency petitions filed
  • Constitutional law chaos

Markets:

  • T-bill auctions: Some fail to clear (unprecedented)
  • Money market funds: “Break the buck” concerns
  • Repo market: Extreme stress; Fed intervention needed
  • Credit default: Probabilities discussed (previously unthinkable)

This Combines With Shutdown: Perfect storm of fiscal crisis

12.6 Portfolio Positioning

12.6.1 Strategic Asset Allocation

Portfolio Implications (Maximum Crisis Positioning):

Allocation (Beyond Maximum Defensive):

  • Equities: 35-40% (from 65% neutral) — 25-30% underweight
    • Only absolute fortress names: Microsoft, J&J, P&G, Berkshire, Waste Management, NextEra
    • Market cap: $100B+ minimum
    • Debt: Net cash positive or minimal
    • International revenue: 40%+ minimum
    • Dividend aristocrats: 25+ years of increases
    • Recession-proof: Essential services only
  • Fixed Income: 42-45% (from 30% neutral) — 12-15% overweight
    • Treasuries: 30-32% (duration 8.0-8.5 years)
      • Despite sovereign downgrade; still best safe haven available
      • Flight-to-quality dominates
    • IG Corporate: 4-5% (AAA and AA only; zero BBB; short duration 3-4 years)
    • TIPS: 8% (inflation protection from monetary policy + fiscal chaos)
  • Alternatives: 15-18% (from 5% neutral)
    • Gold: 10-12% (primary safe haven + monetary concerns + geopolitical)
    • Infrastructure: 4-6% (real assets; inflation protection; essential services)
    • Commodities: 1% (defensive diversification)
  • Cash: 5-7% (from 0-2% neutral)
    • Opportunity fund for once-in-generation buying
    • Liquidity buffer for margin calls/unexpected
    • Psychological comfort during maximum stress

Total Risk Asset Allocation: 35-40% (vs. 70% normal) Total Defensive Allocation: 60-65%

Sector Allocation (within 35-40% equity):

This is not a portfolio; it’s an ark:

  • Healthcare: 25-28% (JNJ, P&G healthcare, Amgen, Abbott)
  • Consumer Staples: 18-22% (PG non-healthcare, KO, Walmart, Costco)
  • Utilities: 12-15% (NEE, Duke, Southern, AEP)
  • Technology (select): 15-18% (MSFT only; maybe AAPL)
  • Berkshire Hathaway: 5-8% (unique; diversified; cash hoard)
  • Everything Else: 0-5% combined

Holdings Philosophy (Survival Mode):

Only companies that:

  1. Survived every recession/crisis in history (or would have)
  2. Net cash or zero debt
  3. Dividend history: 30+ years of increases
  4. Market cap: $50B+ (mega-caps only)
  5. ROE: >20%
  6. International: >40% of revenue
  7. Essential services/products
  8. Pricing power proven in downturns

12.6.2 Risk Management and Hedging Strategy

Risk Management (Maximum Hedging):

Put Spreads: 12-15% of equity portfolio notional

  • Structure: Buy puts 8-10% OTM, sell 18-20% OTM
  • Multiple strikes, multiple expiries
  • Cost: 8-10% of equity portfolio

VIX Calls: 3-4% of total portfolio

  • Strikes: 35-50 calls
  • Multiple expiries (December, January, February, March)
  • Some short-dated (weekly) for tactical spikes

Long Volatility: 1-2%

  • VXX calls
  • SVXY shorts (inverse volatility)
  • Tail risk hedges

Credit Protection: 0.5-1%

  • HY CDS if accessible
  • Put spreads on HYG/JNK
  • Single-name CDS on risky holdings

Currency Hedges: 1-2%

  • Long EUR, JPY, CHF (safe haven currencies)
  • Short USD exposure in portfolio
  • International bond exposure unhedged

Gold Exposure: 10-12% (half direct, half miners)

  • Physical gold: 6%
  • Gold miners: 4% (Newmont, Barrick)
  • Silver: 1-2%

Total Hedging Cost: 10-12% of portfolio annually

  • Extremely expensive
  • But justified: Preserving capital is priority #1
  • Cost is “survival insurance”

12.6.3 Tactical Buying Opportunities

Tactical Playbook (Once-in-Generation Opportunities):

Despite maximum defensiveness, prepare systematically for buying:

Limit Orders (Set Now, Execute Automatically):

S&P 500 Level Action Focus Allocation
4,900 First tranche Mega-cap quality +2% equity
4,600 Second tranche Fortress balance sheets +3% equity
4,300 Third tranche Defensive aristocrats +4% equity
4,000 Fourth tranche Generational opportunity +5% equity
3,700 Fifth tranche Once-in-lifetime +6% equity

Target Prices for Specific Stocks:

Technology:

  • Microsoft (MSFT): < $300 (add aggressively); < $250 (back up the truck)
  • Apple (AAPL): < $160 (add); < $140 (major position)
  • Alphabet (GOOGL): < $120 (add); < $100 (aggressive)

Healthcare:

  • Johnson & Johnson (JNJ): < $130 (add); < $120 (major)
  • UnitedHealth (UNH): < $400 (add); < $350 (major)
  • Eli Lilly (LLY): < $700 (add); < $600 (major)

Consumer Staples:

  • Procter & Gamble (PG): < $130 (add); < $120 (major)
  • Coca-Cola (KO): < $50 (add); < $45 (major)
  • Walmart (WMT): < $60 (add); < $55 (major)

Financials (selective):

  • JPMorgan (JPM): < $150 (add); < $130 (major)
  • Berkshire (BRK.B): < $400 (add); < $360 (major)

Philosophy:

  • “Be greedy when others are fearful” (Buffett)
  • These are generational prices for generational companies
  • 10-year holding period thinking
  • Will look back and say “I wish I’d bought more”

What NEVER to Buy (Even at Lows):

  • Regional banks (permanently impaired business model)
  • Retailers (structural decline + e-commerce disruption)
  • Commercial office REITs (work-from-home permanent)
  • Fossil fuel energy (transition accelerating)
  • Leveraged anything (balance sheet risk)
  • Speculative growth (recession kills unprofitable)

12.7 Client Communication

12.7.1 Emergency Communication Protocol

Client Communication (Crisis Management):

Emergency Protocol (Full Activation):

Immediate Actions:

  1. Personal phone calls to all clients with >$1M (same day)
  2. Group webinar for all other clients (within 24 hours)
  3. Daily email updates during worst stress
  4. Dedicated hotline for questions
  5. Additional staff for phone coverage

12.7.2 Primary Client Communication Template

Primary Message (Emergency Client Letter/Call):

Subject: URGENT: Portfolio Protection Update – Severe Crisis

Dear [Client Name],

I’m reaching out during what has become the most severe government crisis in modern American history. As your advisor, I want to provide complete transparency about the situation and our response.

Current Situation (Unprecedented):

  • Government shutdown: 75-100 days (into February-March 2026)
  • SNAP suspended: 3-4 months affecting 42 million Americans
  • Federal workforce: 20,000-30,000 permanent layoffs
  • Debt ceiling: Breached; payment prioritization begun
  • Credit rating: US downgraded (multi-notch)
  • Recession: Confirmed (two negative quarters)
  • Market: S&P 500 down 15-20% (bear market)

Your Portfolio:

  • Current value: Down 5-8% from pre-crisis peak
  • Compared to market: Down 15-20%
  • We have protected 10-12% of your capital through maximum defensive positioning
  • For $1M portfolio: We saved $100,000-120,000 vs. passive approach

Our Positioning (Maximum Defensive):

  • Equity: 35-40% (only fortress companies: Microsoft, J&J, P&G, Berkshire)
  • Fixed Income: 42-45% (mostly Treasuries despite downgrade; long duration)
  • Gold: 10-12% (major safe-haven position)
  • Cash: 5-7% (opportunity fund for buying)
  • Hedges: Substantial downside protection active

What Makes This Bearable:

  1. You are protected: Defensive positioning working exactly as designed
  2. Fortress companies: Holdings are surviving and will thrive post-crisis
  3. Opportunity ahead: Setting limit orders to buy at generational discounts
  4. This will end: Every crisis in American history has resolved
  5. Long-term intact: Companies like Microsoft, J&J will be fine

Critical Truths:

This is NOT 2008:

  • 2008: Banking system collapse; credit markets frozen; unemployment 10%
  • 2025: Political crisis; banks healthy; unemployment 4.5%; system functional
  • Key: This is political dysfunction, not economic/financial system breakdown

This is NOT 1929:

  • 1929: No Fed support; bank failures cascaded; no safety net; deflation
  • 2025: Fed aggressively easing; deposit insurance; FDIC functioning; inflation contained
  • No systemic collapse; no bank runs; no deflation

Why Markets Have Fallen:

  • Primary cause: $42-46 billion consumer spending shock (SNAP suspension)
  • Secondary: Recession from extended shutdown
  • Tertiary: Sovereignty concerns from downgrade
  • NOT: Company fundamentals (earnings will recover)
  • NOT: Financial system risk

Timeline to Resolution:

  • Debt ceiling forces action: Late January to mid-February most likely
  • Pressure becomes unbearable: Social Security delays would be political catastrophe
  • Even most stubborn politicians will compromise when constituents’ benefits at risk
  • Resolution probably comes suddenly after extended stalemate

What Happens Post-Resolution:

  • Immediate relief rally: +5-8% in first week
  • SNAP restoration: Consumer spending rebounds
  • Back pay: Federal workers spend deferred consumption
  • Business investment resumes: Pent-up demand released
  • Recovery begins: Q2 2026 GDP likely +2% to +4%
  • Full recovery: 4-6 quarters

Your Action Items:

  1. DO NOTHING: We are already maximum defensive; no changes needed
  2. DO NOT GO TO CASH: Would miss recovery (which will be swift when it comes)
  3. DO NOT PANIC SELL: We are already positioned optimally
  4. DO CONSIDER BUYING: If you have new cash, this is once-in-generation opportunity
  5. DO TAX-LOSS HARVEST: We can create significant tax assets

My Commitment:

  • I am monitoring markets every single day
  • Your portfolio is my top priority
  • We will emerge from this crisis with capital preserved and positioned for recovery
  • I am available 24/7 for your questions

Personal Note: I know this is frightening. I’ve been in this business for [X] years and this is the most severe political crisis I’ve witnessed. But I’ve also seen markets recover from 2000 tech crash, 2008 financial crisis, 2020 COVID panic. American resilience has always prevailed.

Your portfolio is built for this. We planned for this. The defensive positioning we implemented in November is doing exactly what it was designed to do: Protect your wealth when markets panic.

Stay disciplined. Stay calm. This will end.

Best regards, [Your Name]

Follow-Up Communications:

  • Daily emails with market updates
  • Weekly detailed commentary
  • Bi-weekly webinars for Q&A
  • Individual calls upon request
  • Text message updates for major developments

12.7.3 Managing Client Psychology Under Extreme Stress

Client Psychology (Extreme Stress Management):

Common Client Reactions in Scenario I:

“I want out completely. Sell everything to cash.”

Response: “I understand your fear. But consider: We’re already 60% in bonds, gold, and cash. The remaining 35-40% equity is Microsoft, J&J, P&G—companies that will survive anything. Going to 100% cash now means two things: (1) You lock in your losses permanently, and (2) You miss the recovery, which will be swift when the shutdown ends. History shows the best returns come right after the worst declines. The average investor panic-sells at the bottom and buys back at higher prices. We’re not average investors. We’re disciplined.”

“How much more can this fall?”

Response: “Honestly, in the very worst case, another 5-10%. But we have substantial hedges that pay off if it does. More importantly, at S&P 4,300-4,000, you’re getting companies like Microsoft at 2019 prices despite earnings being 50% higher. The downside is limited; the upside is enormous. I’d rather lose another 2-3% and participate in the 40-50% recovery than avoid that 2-3% and miss the recovery.”

“What if the US defaults on its debt?”

Response: “That’s extremely unlikely. Even in payment prioritization, interest on debt is paid first. Default would be a choice, not an accident. And the political consequences would be so severe that even the most stubborn politicians won’t cross that line. Social Security might be delayed days; debt will not default.”

“Should I retire/delay retirement?”

Response: “That depends on your specific situation. If you’re scheduled to retire in 3 months and need to sell stocks to fund retirement, we should talk about delaying 6-12 months to allow recovery. If you’re retiring in 2+ years, your portfolio will have recovered by then. If you’re already retired and living on portfolio income, we’ve positioned your portfolio to generate income even in crisis. Let’s review your specific situation.”

“Why didn’t we sell in September before this happened?”

Response: “With perfect hindsight, yes, selling at S&P 5,500 in September would have been ideal. But here’s what actually happened: We DID reduce equity from 65% to 57% in early November. We DID implement hedges. We DID move to defensive sectors. What you’re really asking is ‘Why didn’t we go to 100% cash?’ The answer: Because we can’t predict the future perfectly. If we’d gone to 100% cash and the shutdown had resolved quickly (which had 35% probability), we’d have missed a 10% rally and you’d be asking ‘Why were we so defensive?’ Portfolio management is about position for multiple scenarios, not all-or-nothing bets.”

“I can’t sleep. This is affecting my health.”

Response: “I hear you, and I’m genuinely concerned about you. Let me ask: Is it the money, or is it the uncertainty? If it’s the money, remember: You’re down 5-8% but protected from 15-20% decline. Your losses are recoverable. Your standard of living isn’t threatened. If it’s the uncertainty, that’s valid—none of us know when this ends. But we DO know it will end. Every shutdown in history has ended. This one will too. If this is genuinely affecting your health, let’s consider: Do you need to reduce risk further even if it means sacrificing some recovery? Your health matters more than optimizing returns. We can go more conservative if you need that for peace of mind.”

12.8 Performance Attribution and Recovery Outlook

Performance Attribution (Scenario I – Full Crisis):

Portfolio Performance (75-100 Day Period):

Portfolio Component Allocation Return Contribution vs. Benchmark Contribution
Equities (37.5%) 37.5% -15% to -20% -5.6% to -7.5% +3.8% (defensives outperformed)
Treasuries (31%) 31% +8% to +12% +2.5% to +3.7% +3.0% (duration positioning)
IG Corporate (4.5%) 4.5% -2% to +2% -0.1% to +0.1% Inline
TIPS (8%) 8% +5% to +8% +0.4% to +0.6% +0.6%
Gold (11%) 11% +12% to +20% +1.3% to +2.2% +2.0% (no benchmark gold)
Infrastructure (5%) 5% -3% to +1% -0.2% to +0.1% +0.3%
Cash (6%) 6% 0% 0% +0.6% (vs. 0% benchmark cash)
TOTAL PORTFOLIO 100% -1.7% to -1.0% +13.3% to +20%
60/40 Benchmark -15% to -21%
S&P 500 -15% to -20%

Interpretation:

  • Portfolio down only -1% to -2% vs. -15% to -20% for benchmark
  • Protecting 13-19% of capital through defensive positioning
  • For $1M portfolio: Saved $130,000-$190,000
  • For $10M portfolio: Saved $1.3-$1.9 million

This is the VALUE of disciplined risk management

2025 Full Year (Despite Q4 Crisis):

Period Our Portfolio 60/40 Benchmark Alpha Cumulative
Q1 2025 +6% +7% -1% +6% vs. +7%
Q2 2025 +4% +5% -1% +10.2% vs. +12.4%
Q3 2025 +3% +4% -1% +13.5% vs. +16.8%
Q4 2025 -2% -16% +14% +11.3% vs. -1.0%
2025 FY +11.3% -1.0% +12.3%

Despite bear market in Q4, clients still have double-digit returns for full year due to YTD gains.

Sharpe Ratio (Full Year):

  • Our Portfolio: 0.9 (solid risk-adjusted returns despite crisis)
  • 60/40 Benchmark: -0.1 (negative risk-adjusted returns)
  • S&P 500: -0.2 (worse)

Maximum Drawdown:

  • Our Portfolio: -8% (from YTD peak to crisis low)
  • 60/40 Benchmark: -21% (from YTD peak)
  • S&P 500: -22%

Recovery Factor (Gain Required to Break Even):

  • Our Portfolio from low: +8.7% (achievable in 1-2 quarters)
  • Benchmark from low: +26.6% (requires 2-3 years historically)
  • S&P 500 from low: +28.2%

This demonstrates the power of defense: Much easier to recover from -8% than -22%.

Regime Assessment (Definitive):

Scenario I conclusively establishes either New Normal or Crisis regime:

Updated Probability Distribution:

  • Traditional: 5% (this proves traditional era is over)
  • New Normal: 60% (recurring shutdowns + major workforce restructuring proven viable)
  • Crisis: 35% (institutional breakdown; US governance fundamentally impaired)

Rationale:

  • 75-100 day shutdown with 3-4 month SNAP suspension and 20,000-30,000 RIFs proves:
    • Administration willing to inflict extraordinary economic pain
    • Shutdown weaponization comprehensively successful
    • US political system vulnerable to prolonged paralysis
    • International credibility permanently damaged
    • Reserve currency status durably impaired

Future Shutdown Probability: 85-90% (another within 12 months)

Permanent Portfolio Restructuring Required (Post-Resolution):

New Strategic Asset Allocation (Implement Over 6-12 Months Post-Crisis):

Old Normal Balanced Portfolio (65/30/5):

  • Stocks 65%: (US 52%, International 13%)
  • Bonds 30%: (Treasuries 20%, Corp 10%)
  • Alternatives 5%: (REITs 5%)

New Normal Balanced Portfolio (55/30/15):

  • Stocks 55%: (US 35%, International 15%, EM 5%)
    • Within US: Defensive sector bias; quality screens
  • Bonds 30%: (Treasuries 15%, Int’l Bonds 8%, IG Corp 5%, TIPS 2%)
  • Alternatives 15%: (Gold 7%, Infrastructure 5%, Commodities 3%)

Philosophy Shift:

  • US is no longer default allocation (reduced from 80% to 64% of equity)
  • Permanent safe-haven allocation (gold 7%)
  • Higher international diversification (currency risk mitigation)
  • Alternatives elevated to strategic (not just tactical)

Sector Positioning (Permanent Defensive Bias):

  • Healthcare: Neutral +2% (vs. benchmark)
  • Staples: Neutral +2%
  • Utilities: Neutral +1%
  • Financials: Neutral -2%
  • Discretionary: Neutral -2%
  • (Permanent vs. temporary tilts)

Risk Management (New Baseline):

  • Permanent tail hedge: 2% of portfolio annually (vs. 0.5% old normal)
  • VIX baseline assumption: 20-22 (vs. 15-16 historical)
  • Cash buffer: 5% normal (vs. 0-2% old normal)
  • Quarterly stress testing: Required vs. political scenarios

Return Expectations (Permanently Reset):

  • Balanced portfolio: 5-6% annually (vs. 8-10% historical)
  • Equity only: 7-8% (vs. 10-12% historical)
  • Volatility: 16-18% (vs. 12-14% historical)
  • Sharpe ratio: 0.3-0.4 (vs. 0.6-0.8 historical)

Client Education (New Normal):

  • “We must adapt to new political reality”
  • “Lower returns are the cost of protection in higher-risk world”
  • “Focus on real (after-inflation) returns and capital preservation”
  • “US exceptionalism era has ended; global diversification essential”

Recovery Trajectory (Post-Resolution – Finally):

Immediate (Week 1-2 Post-Resolution):

  • S&P 500: +8% to +12% (massive relief rally; short-squeeze)
  • Treasuries: Yield +30 to +50 bps (unwind flight-to-quality)
  • Credit spreads: Tighten 40-60 bps immediately
  • VIX: Collapses from 45+ to 25-28 (still elevated)
  • Gold: Gives back 5-8% (but retains most gains)
  • Dollar: Stabilizes; modest recovery

Near-Term (Months 1-3, March-May 2026):

  • Economic data resumes: Confirms Q4/Q1 recession
  • SNAP fully restored: March consumer spending rebounds sharply
  • Back pay distributed: Federal workers’ pent-up spending released
  • Business investment resumes: Capex plans reactivated
  • Earnings: Bottom in Q1; Q2 shows recovery
  • S&P 500: +5% to +10% additional (consolidation; volatile)

Medium-Term (Months 4-9, June-December 2026):

  • GDP: Q2 +2-3%, Q3 +3-4% (recovery confirmed)
  • Earnings: FY2026 +8% to +12% (rebound from depressed base)
  • Consumer confidence: Recovers to ~75-80 (still below pre-crisis)
  • Business confidence: Recovers more slowly (scarred)
  • S&P 500: +10% to +18% for period (H2 2026)
  • But structural damage evident: Government services degraded permanently

Long-Term (Year 2+, 2027+):

  • New normal established: Higher volatility, lower growth
  • Shutdowns remain recurring risk (next one: 12-18 months)
  • Political risk premium: Permanent 75-100 bps on US assets
  • DC metro area: Permanently impaired (loses 2-3% of regional economy)
  • Government capacity: Reduced by 20,000-30,000 positions affects services
  • Output gap: 0.25-0.35% of GDP permanent loss
  • S&P 500: Reaches old highs by late 2027/early 2028
  • But lower growth trajectory going forward: 2.0-2.5% vs. 2.5-3.0% historical

Full Recovery to Pre-Crisis Peak: 6-8 quarters Full Recovery to Pre-Crisis Trend: Never (new lower trend)


13. Part IV: Dynamic Decision Tree and Rebalancing Triggers

Having established the six core scenarios (A through I), fund managers require specific, measurable triggers for tactical action. This decision tree provides clear criteria for migrating between scenarios and adjusting portfolios in real-time.

13.1 Current Position Assessment (October 27, Day 24)

Situation Snapshot:

  • Shutdown duration: 24 days (medium trajectory)
  • SNAP status: Announced suspension for November 1 (moderate disruption confirmed)
  • RIF implementation: ~4,000 notices issued; significant court blocks (trending toward moderate)
  • Current market: S&P 500 ~5,350; 10Y yield ~4.05%; VIX ~17
  • Credit spreads: IG ~107 bps, HY ~328 bps (normal-to-slight widening)

Scenario Probability Assessment (Current):

  • Scenario A: 25% (quick resolution possible; Thanksgiving pressure)
  • Scenario B: 10% (quick resolution but with RIFs)
  • Scenario C: 2% (unlikely combination)
  • Scenario D: 15% (extended but SNAP preserved/brief)
  • Scenario E: 30%BASE CASE (extended + moderate disruption)
  • Scenario F: 10% (extended + severe disruption)
  • Scenario G: 3% (very long but minimal economic damage)
  • Scenario H: 4% (very long + moderate disruption)
  • Scenario I: 1% (catastrophic)

Immediate Positioning (Based on Base Case E with tails):

  • Equity: 57% (modest underweight from 65% neutral)
  • Fixed Income: 34% (modest overweight; duration 6.5 years)
  • Alternatives: 7% (Gold 4%, Infrastructure 3%)
  • Cash: 2%
  • Hedges: Put spreads 2.5% notional, VIX calls 0.75%

13.2 Trigger Point 1: November 3-10 (Week 5-6 of Shutdown)

Critical Events This Period:

  • November 1: SNAP suspension takes effect (if no last-minute fix)
  • November 4: Retail sales data start showing October impacts (if data released)
  • November 6-7: Fed FOMC meeting (expected 25 bps cut)
  • November 10-15: Thanksgiving travel preparations intensify
  • November 15: Potential deadline from business community

Monitor These Metrics:

Political Indicators:

  • [ ] Senate cloture vote count: Any Democratic defections?
  • [ ] White House meetings: Biden/Trump/Congressional leaders meeting announced?
  • [ ] Court rulings: Major RIF injunctions issued?
  • [ ] SNAP emergency funding: Any bipartisan discharge petition filed?
  • [ ] Republican moderate defections: Any House members publicly breaking ranks?

Economic Indicators:

  • [ ] Private payrolls (ADP): <-50K triggers concern
  • [ ] ISM Services: <48 signals contraction
  • [ ] Consumer confidence (U Mich): <65 signals crisis
  • [ ] Initial claims: >250K suggests labor market stress
  • [ ] Discount retail same-store sales: Watch DG, DLTR comp announcements

Market Technicals:

  • [ ] S&P 500: 5,200 level (psychological support)
  • [ ] VIX: 20 level (stress threshold)
  • [ ] HY spreads: 360 bps (widening concern)
  • [ ] 10Y yield: 3.90% (flight-to-quality threshold)
  • [ ] Dollar: -2% from current (weakening concern)

Trigger Pathways:


13.2.1 Pathway A: Resolution Signals

PATHWAY A: Resolution Signals → Migrate Toward Scenario A/B

Trigger Conditions (3+ must occur):

  1. ☑ Bipartisan White House meeting announced with positive tone
  2. ☑ Senate shows 3+ Democratic senators signal willingness to compromise
  3. ☑ SNAP emergency funding passes House (even if not Senate yet)
  4. ☑ Major court ruling blocks substantial RIF implementation (>50% of notices)
  5. ☑ Business community (Chamber of Commerce, Business Roundtable) mobilizes publicly
  6. ☑ S&P 500 rallies to 5,400+ on anticipation

Probability Adjustment:

  • Scenario A: 25% → 45%
  • Scenario E: 30% → 20%
  • Scenario F/H/I: Reduce by half

Portfolio Actions (Execute Within 24-48 Hours):

Immediate:

  • [ ] Reduce put hedge notional from 2.5% to 1.5%
  • [ ] Begin scaling out of VIX calls (take 30-40% profits)
  • [ ] Prepare to reduce gold from 4% to 3%

On Confirmation of Deal:

  • [ ] Increase equity from 57% to 63% (+6%)
    • Add to cyclicals: Financials +2%, Discretionary +2%, Industrials +1%, Technology +1%
    • Reduce defensives: Healthcare -2%, Staples -2%, Utilities -1%
  • [ ] Reduce duration from 6.5 to 5.5 years (take profit on Treasury rally)
  • [ ] Reduce gold to 2-3%
  • [ ] Close remaining hedges (VIX, puts)

Sector Rotation:

  • Financials: Benchmark → +1% (curve steepening)
  • Discretionary: -4% → -1% (consumer recovery)
  • Technology: -1% → +1% (growth resumes)
  • Healthcare: +4% → +1% (reduce defensive premium)
  • Staples: +3% → 0% (reduce defensive)

Timeline:

  • Day 1: Announcement → +1% to +2% market rally expected
  • Days 2-5: Consolidation; add on any dip
  • Week 2: Full positioning shift as deal passes

Communication:

  • Email blast within 2 hours of announcement
  • “Resolution emerging; beginning to add risk”
  • Phone calls to largest clients
  • Webinar within 48 hours

Risk:

  • False dawn (CR passes but expires in 2 weeks; same fight returns)
  • Keep some hedges until resolution truly lasting

13.2.2 Pathway B: Stalemate Continues

PATHWAY B: Stalemate Continues → Maintain Scenario E Positioning

Trigger Conditions:

  1. ☑ No bipartisan meetings or all meetings fail
  2. ☑ Senate votes remain party-line (no defections)
  3. ☑ Court rulings are mixed (some RIFs blocked, some proceed)
  4. ☑ SNAP suspension proceeds as announced November 1
  5. ☑ Markets range-bound (S&P 5,250-5,450)
  6. ☑ No clear positive or negative catalyst

Probability Adjustment:

  • Maintain current distribution
  • Scenario E stays at 30%
  • Watch for migration to Pathway C if deteriorates

Portfolio Actions:

Maintain Current Positioning:

  • [ ] Hold equity at 57%
  • [ ] Hold duration at 6.5 years
  • [ ] Hold sector tilts
  • [ ] Hold hedges

Active Monitoring:

  • [ ] Roll options forward (December to January expiries)
  • [ ] Rebalance sector drifts monthly
  • [ ] Add marginally to gold on any pullback (target 4-5%)

Prepare for Next Trigger Point:

  • [ ] Set limit orders for Pathway C deterioration
  • [ ] Set limit orders for opportunistic buying (S&P 5,150, 5,050)
  • [ ] Prepare client communication for either direction

Timeline:

  • Continue current stance through November 15
  • Reassess at Trigger Point 2 (November 17-24)

Communication:

  • Weekly client update email
  • “Shutdown continues; positioning unchanged”
  • “Patience required; disciplined approach”
  • No major client calls unless requested

13.2.3 Pathway C: Severe Deterioration

PATHWAY C: Deterioration → Migrate Toward Scenario F

Trigger Conditions (3+ must occur):

  1. ☑ RIF implementation accelerates to 8,000-10,000 total notices
  2. ☑ Courts provide limited relief (only block <30% of RIFs)
  3. ☑ December SNAP restoration fails to materialize (announcement of 2-month suspension)
  4. ☑ S&P 500 breaks below 5,200 decisively
  5. ☑ HY spreads exceed 360 bps
  6. ☑ Consumer confidence drops below 65
  7. ☑ Administration rhetoric hardens (“This is working; we’ll stay the course”)

Probability Adjustment:

  • Scenario F: 10% → 25%
  • Scenario E: 30% → 20%
  • Scenario H: 4% → 10%

Portfolio Actions (Execute Immediately):

Risk Reduction:

  • [ ] Reduce equity from 57% to 52% (-5%)
    • Sell: Cyclicals (Financials -2%, Discretionary -2%, Technology -1%)
    • Hold: Defensives at current overweights
  • [ ] Extend duration from 6.5 to 7.0 years
  • [ ] Increase gold from 4% to 5-6%
  • [ ] Increase hedge notional from 2.5% to 4% (add puts)

Sector Adjustments:

  • Healthcare: +4% → +5%
  • Staples: +3% → +4%
  • Utilities: +2% → +3%
  • Discretionary: -4% → -5%
  • Financials: -3% → -4%

Quality Screen Tightening:

  • Minimum market cap: $20B → $30B
  • Maximum debt/EBITDA: 3.0x → 2.5x
  • Require: Free cash flow positive

Credit Positioning:

  • Reduce IG corporate from 9% to 8%
  • Eliminate all BBB-rated (move to A or better)
  • Increase TIPS from 4% to 5%

Timeline:

  • Execute trades within 2-3 trading days
  • Do not wait for further confirmation
  • Better to be early than late on defense

Communication:

  • Emergency email within 24 hours
  • “Shutdown worsening; increasing defensive positioning”
  • “This is prudent risk management, not panic”
  • Individual calls to clients >$5M

Watch for Further Deterioration:

  • If continues to worsen → Trigger Point 2 may accelerate Scenario H positioning

13.3 Trigger Point 2: November 17-24 (Week 7-8 / Thanksgiving Week)

Critical Period: This is THE Key Inflection Point

Thanksgiving week represents maximum political pressure point:

  • Air traffic control staffing at limit
  • Holiday travel busiest period of year
  • Family gatherings focus attention on shutdown
  • Retail Black Friday/Cyber Monday season
  • Business community maximally motivated

If shutdown doesn’t resolve by November 27 (day before Thanksgiving), probability of extended crisis increases dramatically.

Monitor These Metrics:

Political Indicators (Critical):

  • [ ] TSA staffing levels: <85% triggers travel crisis
  • [ ] Air traffic controllers: Sick-outs occurring?
  • [ ] Senate vote count: 10th, 11th, 12th failure signals no near-term resolution
  • [ ] House return: Does Speaker Johnson call House back into session?
  • [ ] Trump positioning: Any softening or “deal close” messaging?

Economic Indicators:

  • [ ] Black Friday sales data: Down >10% YoY very bearish
  • [ ] November retail sales forecast (if available): Negative?
  • [ ] Consumer confidence: Check if <62 (approaching crisis levels)
  • [ ] ADP payrolls: Two consecutive negative prints?

Market Technicals (Critical Levels):

  • [ ] S&P 500: 5,000 level (major psychological support; down ~6.5%)
  • [ ] VIX: 25 level (fear gauge rising)
  • [ ] HY spreads: 400 bps (credit stress threshold)
  • [ ] 10Y yield: 3.75% (persistent quality flight)
  • [ ] Regional banks: -15% from Oct 1 levels (sector stress)

Trigger Pathways:


13.3.1 Pathway A: Resolution Signals

PATHWAY A: Thanksgiving Crisis Forces Resolution → Scenario D/E Resolution Path

Trigger Conditions (2+ must occur):

  1. ☑ Air traffic control crisis (LaGuardia/major airport disruptions like 2019)
  2. ☑ Business community (airlines, retailers, hotels) publicly demands action
  3. ☑ Emergency White House meeting announced for Tuesday/Wednesday before Thanksgiving
  4. ☑ Bipartisan “save Thanksgiving” coalition emerges
  5. ☑ Markets anticipate resolution: S&P rallies back toward 5,300+

Probability Adjustment:

  • Resolution scenarios (A/B/D): Combined 50% → 70%
  • Extended scenarios (E/F/H): Combined 44% → 25%

Portfolio Actions:

Prepare But Don’t Front-Run:

  • [ ] Maintain defensive positioning until deal SIGNED (not just “close”)
  • [ ] Set aggressive limit orders to add risk on confirmation:
    • Buy orders: S&P 5,350 (add 2% equity)
    • Buy orders: S&P 5,400 (add additional 2%)
  • [ ] Prepare sector rotation trade list for rapid execution

On Confirmed Deal:

  • [ ] Increase equity from current (52-57%) toward 62-65%
  • [ ] Reduce duration from 6.5-7.0 to 5.5-6.0 years
  • [ ] Cut gold from 4-6% to 3%
  • [ ] Close hedges (take profits on puts/VIX)
  • [ ] Rotate to cyclicals aggressively

Expected Market Response:

  • Week 1: +3% to +5% relief rally
  • Week 2-4: Consolidation; normal volatility returns
  • By year-end: S&P 500 back to 5,400-5,600

Communication:

  • Immediate email on deal announcement
  • Explain positioning changes
  • Emphasize “patience rewarded”
  • Schedule client webinar for week after Thanksgiving

13.3.2 Pathway B: Stalemate Continues

PATHWAY B: Shutdown Becomes Record-Breaker → Scenario H Risk Increases

Trigger Conditions (3+ must occur):

  1. ☑ Thanksgiving passes; government still shut (day 35+, exceeding 2018-19 record)
  2. ☑ No resolution in sight; Congress may leave for December holidays
  3. ☑ RIF implementation reaches 10,000-12,000 total
  4. ☑ December SNAP suspension confirmed (second month)
  5. ☑ Credit markets show stress: IG spreads >140 bps, HY >400 bps
  6. ☑ VIX sustains above 23 for full week

Probability Adjustment:

  • Scenario H: 4% → 15%
  • Scenario E: 30% → 20%
  • Scenario F: 10% → 15%
  • Scenario I: 1% → 3%

Portfolio Actions (Major Risk Reduction):

Immediate Equity Reduction:

  • [ ] Reduce from 52-57% to 48-50% (major cut)
  • [ ] Maximum defensive sector allocation:
    • Healthcare to 18-20%
    • Utilities to 7-8%
    • Staples to 10-12%
    • Everything else minimize

Fixed Income:

  • [ ] Extend duration to 7.5 years (major Treasury overweight)
  • [ ] Reduce IG corporate to 7% (only AA or better)
  • [ ] Increase TIPS to 6%

Alternatives:

  • [ ] Increase gold to 7-8% (major safe-haven position)
  • [ ] Maintain infrastructure at 4%

Hedging:

  • [ ] Increase put notional to 6-7% of equity
  • [ ] Increase VIX calls to 1.5% of portfolio
  • [ ] Consider outright long volatility (VXX)

Cash:

  • [ ] Increase to 3-4% (liquidity buffer; opportunity fund)

Credit Positioning:

  • [ ] Exit all BBB-rated corporate bonds
  • [ ] Focus only on AAA/AA (government risk even)
  • [ ] Consider reducing IG corporate entirely if spreads >150 bps

Timeline:

  • Execute over 3-5 trading days
  • Do not wait for further deterioration
  • This is moving to near-maximum defensive

Communication:

  • Emergency client webinar (weekend of November 23-24)
  • “Shutdown exceeding historical precedent”
  • “Increasing defensive positioning significantly”
  • “Preparing for potentially severe outcomes”
  • Individual calls to all clients >$2M

13.3.3 Pathway C: Severe Deterioration

PATHWAY C: Severe Deterioration → Scenario I Risk Becomes Material

Trigger Conditions (4+ must occur):

  1. ☑ Shutdown continues past Thanksgiving with NO positive signs
  2. ☑ RIF implementation exceeds 15,000 total
  3. ☑ Credit rating agency (Moody’s/Fitch) announces review for downgrade
  4. ☑ S&P 500 breaks below 5,000 (down >6.5%)
  5. ☑ HY spreads exceed 425 bps
  6. ☑ VIX exceeds 28
  7. ☑ Consumer confidence drops below 60
  8. ☑ Business commentary turns dire (major CEOs expressing alarm)

Probability Adjustment:

  • Scenario I: 1% → 5-8%
  • Scenario H: 4% → 20%
  • Scenario F: 10% → 20%
  • Short-term scenarios (A/B/D): Combined collapse to 10-15%

Portfolio Actions (Near-Maximum Crisis Positioning):

Major Risk Reduction:

  • [ ] Reduce equity to 45% (from 48-57%)
  • [ ] Only fortress balance sheets: MSFT, JNJ, PG, BRK, WM, NEE, KO
  • [ ] Sell: ALL cyclicals, ALL financials except JPM/BAC, ALL discretionary except WMT

Fixed Income:

  • [ ] Duration to 8.0 years
  • [ ] Treasuries: 28-30% of portfolio
  • [ ] IG corporate: 5-6% (only AAA/AA; short duration)
  • [ ] TIPS: 7-8%

Alternatives:

  • [ ] Gold: 9-10% (near-maximum)
  • [ ] Infrastructure: 4-5%

Hedging:

  • [ ] Put notional: 8-10% of equity portfolio
  • [ ] VIX calls: 2-3% of portfolio
  • [ ] Long volatility strategies: 1%
  • [ ] Total hedging: ~5-7% of portfolio

Cash:

  • [ ] 5% (opportunity fund for once-in-generation buying)

This is near-maximum defensive positioning (one step short of Scenario I)

Timeline:

  • Execute immediately (within 1-2 trading days)
  • Emergency protocol activated
  • All hands on deck for client management

Communication:

  • Emergency phone calls to all clients >$1M (same day)
  • Email blast to all clients (within 2 hours)
  • Emergency webinar (within 24 hours)
  • Daily updates during crisis period
  • Message: “This is now a severe crisis; we are protecting your capital aggressively”

Critical: If Pathway C triggers, prepare for possible Trigger Point 3 acceleration (don’t wait for December 8-15; reassess weekly)


13.4 Trigger Point 3: December 8-15 (Week 10-11 / Holiday Season Peak)

Context: If shutdown reaches this point (40-47 days), we’re in uncharted territory:

  • Longest shutdown in history (2018-19 was 35 days)
  • Holiday season peak travel period
  • Corporate year-end planning crisis
  • Q4 earnings season approaching (January)
  • Fed December 17-18 FOMC meeting looming

Monitor These Metrics:

Political Indicators:

  • [ ] Christmas travel bookings: Cancellations increasing?
  • [ ] Congressional calendar: Any return scheduled? Or departed for holidays?
  • [ ] Trump approval rating: Major shift either direction?
  • [ ] Credit rating agency: Has review been announced? Timeline?
  • [ ] Debt ceiling proximity: Treasury extraordinary measures status?

Economic Indicators:

  • [ ] November retail sales (if released): Confirms SNAP impact?
  • [ ] Consumer confidence: Below 58 confirms crisis psychology?
  • [ ] Jobless claims: Sustained above 250K?
  • [ ] Corporate guidance: Major retailers/restaurants warning?

Market Technicals (Crisis Levels):

  • [ ] S&P 500: 4,800 or below (down ~10%; approaching bear market)
  • [ ] VIX: 30+ sustained (crisis vol)
  • [ ] HY spreads: 450+ bps (credit dysfunction)
  • [ ] 10Y yield: 3.60 or below (extreme flight-to-quality)
  • [ ] Gold: $2,900+ per oz (safe-haven panic)

Trigger Pathways:


13.4.1 Pathway A: Resolution Signals

PATHWAY A: Holiday Season Forces Breakthrough → Resolution Path

Trigger Conditions (3+ must occur):

  1. ☑ Christmas travel chaos creates political firestorm
  2. ☑ Bipartisan “exhaustion compromise” emerges (both sides claim victory)
  3. ☑ CR announced through March 2026
  4. ☑ SNAP emergency funding included
  5. ☑ Markets rally in anticipation: S&P back toward 5,200-5,400

Probability Adjustment:

  • Resolution: 60-70%
  • Scenario E/F: These were correct; now resolving

Portfolio Actions:

Maintain Defensive Until Signed:

  • Do NOT front-run resolution
  • Keep defensive positioning until deal passes both chambers and signed
  • Too many false dawns possible

On Confirmed Deal:

  • [ ] Increase equity from 45-50% toward 55-60%
  • [ ] Reduce duration from 7.5-8.0 to 6.0-6.5 years
  • [ ] Cut gold from 8-10% to 5-6%
  • [ ] Close 50% of hedges immediately; keep 50% for 2-4 weeks

Scale Back to Normalcy:

  • Week 1: Add 5% equity
  • Week 2-3: Add additional 3-5% equity
  • Month 2: Back to near-neutral positioning (60-63% equity)

Expected Market Response:

  • Day 1: +4% to +7% relief rally
  • Week 1: +6% to +10% total
  • Month 1: Consolidation; volatility remains elevated
  • Q1 2026: Continued recovery as economy normalizes

But Structural Damage Evident:

  • SNAP disruption created real damage (November/December lost)
  • RIF implementation (moderate) completed
  • DC metro area impaired
  • Recovery is to “new normal,” not old status quo

Communication:

  • Immediate email on deal
  • Webinar within 48 hours
  • Individual calls to largest clients
  • Message: “Crisis resolving; beginning recovery positioning”
  • “But remain vigilant; next shutdown possible within 18 months”

13.4.2 Pathway B: Stalemate Continues

PATHWAY B: Shutdown Continues Through Holidays → Scenario H Confirmed

Trigger Conditions (3+ must occur):

  1. ☑ Government remains shut through Christmas (42+ days)
  2. ☑ RIF implementation continues (total 10,000-15,000)
  3. ☑ Consumer confidence drops to ~58-62
  4. ☑ Credit markets deteriorating: IG spreads >155 bps, HY >440 bps
  5. ☑ Fed cuts 50 bps in December (panic easing)
  6. ☑ S&P 500 below 4,900 (down >8%; bear market threshold approaching)

Probability Adjustment:

  • Scenario H: Confirmed (60-70% we’re in this scenario)
  • Scenario I: 3% → 8-10% (escalation risk)

Portfolio Actions:

Already Near-Maximum Defensive (From Trigger Point 2):

  • Equity: 45-48%
  • Duration: 7.5-8.0 years
  • Gold: 9-10%
  • Hedges: Substantial

Maintain This Positioning:

  • [ ] Hold current allocations
  • [ ] Do NOT add risk
  • [ ] Do NOT capitulate/sell everything
  • [ ] This positioning is designed for this scenario

Fine-Tuning Only:

  • [ ] Rebalance to targets monthly
  • [ ] Roll hedges forward (March expiries)
  • [ ] Add marginally to gold on any dip (toward 10% target)

Set Buying Triggers:

  • [ ] S&P 4,800: Add 1% equity (highest quality only)
  • [ ] S&P 4,600: Add 2% equity
  • [ ] S&P 4,400: Add 3% equity (generational opportunity)

Critical: At this point, we’re in confirmed severe crisis. Positioning is appropriate. Now it’s about:

  1. Maintaining discipline (don’t panic sell)
  2. Opportunistic buying at extreme lows
  3. Client psychology management (prevent capitulation)

Communication:

  • Daily email updates
  • Weekly webinars
  • Individual calls to anxious clients
  • Message: “This is severe but our positioning is working”
  • “We are protecting 6-10% of capital vs. passive”
  • “Do NOT panic sell; stay the course”
  • “Setting limit orders to buy quality at generational prices”

13.4.3 Pathway C: Severe Deterioration

PATHWAY C: Catastrophic Deterioration → Scenario I

Trigger Conditions (4+ must occur):

  1. ☑ Shutdown approaches/exceeds 50 days with no end in sight
  2. ☑ RIF implementation exceeds 15,000 and accelerating
  3. ☑ Sovereign downgrade occurs or imminently announced
  4. ☑ S&P 500 below 4,700 (down >12%; official bear market)
  5. ☑ HY spreads exceed 475 bps (credit dysfunction)
  6. ☑ VIX sustained above 32
  7. ☑ International concern: G7/IMF emergency meetings

Probability Adjustment:

  • Scenario I: Now 15-25% (no longer tail risk; material probability)
  • Scenario H: 60-70% (confirmed but may worsen)

Portfolio Actions (Maximum Crisis Positioning):

Final Risk Reduction (Scenario I Protocol):

  • [ ] Reduce equity from 45-48% to 35-40%
    • Sell: Everything except fortress names (MSFT, JNJ, PG, BRK, KO, WM, NEE)
    • Holdings: Only companies that survived Great Depression (or would have)
  • [ ] Fixed Income to 42-45%
    • Treasuries: 30-32% (duration 8.0-8.5 years)
    • IG Corporate: 4-5% (only AAA/AA; short duration)
    • TIPS: 8%
  • [ ] Gold: 10-12% (maximum safe-haven position)
  • [ ] Cash: 5-7% (opportunity fund + liquidity buffer)

Hedging:

  • [ ] Put notional: 12-15% of equity portfolio
  • [ ] VIX calls: 3-4% of total portfolio
  • [ ] Long volatility: 1-2%
  • [ ] Currency hedges: Consider EUR/JPY/CHF

This is maximum defensive positioning. No further cuts.

Critical Client Psychology Management:

  • Many clients will want to go to 100% cash
  • Resist: We’re already maximally defensive
  • Going to cash now means:
    1. Locking in losses permanently
    2. Missing recovery (which will be swift when it comes)
    3. Paying taxes on realized losses unnecessarily

Communication (Emergency Protocol):

  • Phone calls to ALL clients >$500K (within 24 hours)
  • Email to all clients (immediate)
  • Emergency webinar (within 12 hours)
  • Daily updates during crisis peak
  • Message: “This is the severe crisis we planned for”
  • “Your portfolio is positioned to survive”
  • “Do NOT panic; we are through the worst positioning-wise”
  • “Focus: Recovery will create generational buying opportunity”

13.5 Trigger Point 4: January 5-12, 2026 (Week 14-15 / Debt Ceiling Crisis)

Context: If we reach this point (60-70 days), we’re in Scenario H or I territory:

  • Government shut for 2+ months (2.5x longest in history)
  • Debt ceiling becoming imminent issue
  • Q4 GDP data confirms recession
  • International credibility severely damaged
  • Markets in severe stress

This trigger point is primarily about debt ceiling collision, not shutdown duration.

Monitor These Metrics:

Fiscal Crisis Indicators:

  • [ ] Treasury Secretary: Announces extraordinary measures timeline
  • [ ] Debt ceiling: X-date projected (when Treasury runs out)
  • [ ] Payment prioritization: Plans announced publicly
  • [ ] Constitutional crisis: 14th Amendment discussions in mainstream

Market Crisis Indicators:

  • [ ] T-bill auctions: Any failures to clear?
  • [ ] Money market funds: Redemption pressure?
  • [ ] Repo market: Stress indicators (spreads widening)?
  • [ ] S&P 500: Below 4,500 (down >15%; deep bear market)?
  • [ ] VIX: Above 40 (crisis panic)?

Trigger Pathways:


13.5.1 Pathway A: Resolution Signals

PATHWAY A: Debt Ceiling Forces Resolution

Trigger Conditions:

  1. ☑ Treasury announces extraordinary measures exhausted by late January
  2. ☑ Payment prioritization timeline announced
  3. ☑ Political pressure becomes unbearable (Social Security delay imminent)
  4. ☑ Bipartisan coalition forms (potentially over leadership objections)
  5. ☑ Deal announced combining shutdown resolution + debt ceiling increase

Probability: If we reach this point, 80-90% resolution occurs here

Portfolio Actions:

This is the Resolution: Markets will rally violently when deal announced

On Deal Announcement:

  • [ ] Immediately add 3-5% equity (don’t wait)
  • [ ] Reduce hedges by 50% (take profits)
  • [ ] Begin duration reduction (8.0 → 7.0 years)

Over Following Weeks:

  • Week 1: +8% to +12% relief rally expected
  • Week 2-4: Consolidate; continue adding equity
  • Month 2-3: Move back toward 55-60% equity

But Recovery to New Normal:

  • Structural damage is severe and permanent
  • This was Scenario H or I; deep scarring
  • Markets recover but to lower growth trajectory
  • Political risk premium permanent

Communication:

  • Immediate email
  • Emergency webinar (weekend)
  • “The crisis is finally resolving”
  • “Recovery will be strong but to new normal”
  • “Structural changes to portfolio permanent”

13.5.2 Pathway B: Stalemate Continues

PATHWAY B: Dual Crisis (Shutdown + Debt Ceiling Both Active)

Trigger Conditions:

  1. ☑ Shutdown continues while debt ceiling hit
  2. ☑ Treasury begins payment prioritization
  3. ☑ Constitutional crisis: 14th Amendment invoked?
  4. ☑ Financial markets in freefall
  5. ☑ International intervention (IMF, G7)

This is Scenario I confirmed at maximum severity

Portfolio Actions:

We Are Already at Maximum Defensive:

  • Equity: 35-40%
  • Treasuries: 30-32%
  • Gold: 10-12%
  • Cash: 5-7%
  • Hedges: Maximum

No Further Action Except:

  • [ ] Rebalance to maintain targets
  • [ ] Deploy cash opportunistically at extreme lows:
    • S&P 4,200: Add 2%
    • S&P 4,000: Add 3%
    • S&P 3,800: Add 4%
    • S&P 3,600: Add 5% (inconceivable but if it happens, back up truck)

Focus:

  • Capital preservation: ✓ (achieved through positioning)
  • Client psychology: Critical (prevent panic capitulation)
  • Opportunistic buying: At generational lows

Communication:

  • Multiple daily updates
  • Individual calls to all significant clients
  • “This is as bad as it gets”
  • “We are positioned correctly”
  • “History shows this resolves; when it does, recovery is swift”
  • “Your children will wish they had your buying opportunities”

13.6 Continuous Monitoring Framework

Daily Monitoring (Every Trading Day):

Market Levels:

  • S&P 500: 5,300 / 5,200 / 5,100 / 5,000 / 4,900 / 4,800 / 4,700 / 4,600
  • VIX: 17 / 20 / 23 / 26 / 30 / 35 / 40
  • 10Y yield: 4.10% / 4.00% / 3.90% / 3.75% / 3.60% / 3.40%
  • HY spread: 325 / 350 / 375 / 400 / 425 / 450 / 475 / 500
  • Gold: $2,650 / $2,750 / $2,850 / $2,950 / $3,050

Trading Rules:

  • Do NOT react to single-day moves
  • Require 2-3 day confirmation of threshold breach
  • Exception: Violent moves (>2-3% daily) may require immediate action

Weekly Monitoring (Every Monday Morning):

Metrics Review:

  • Shutdown duration countdown
  • RIF implementation count (cumulative)
  • Senate cloture vote count (attempts/failures)
  • Court ruling summary (RIFs blocked vs. allowed)
  • Economic data review (what’s available despite blackout)

Portfolio Review:

  • Actual allocation vs. target
  • Drift from sector targets
  • Hedge valuations (P&L on hedges)
  • Cash balance and rebalancing needs

Event-Driven Monitoring (Immediate):

Triggers Requiring Real-Time Response:

  • White House/Congressional leadership meeting announced
  • Major court ruling on RIF authority
  • Credit rating agency action (review, downgrade, etc.)
  • Fed inter-meeting action or emergency statement
  • Debt ceiling X-date announcement
  • S&P 500 circuit breaker triggered (>7% decline in day)
  • VIX spike >30% in single day
  • Major corporate bankruptcy/failure (systemically important)

Response Protocol:

  • Investment team conference call within 1 hour
  • Client service team briefed within 2 hours
  • Client communication within 4 hours
  • Portfolio action (if needed) within 8 hours

Monthly Monitoring (First of Month):

Comprehensive Review:

  • Scenario probability distribution update
  • Regime assessment (Traditional/New Normal/Crisis)
  • Performance attribution analysis
  • Client portfolio reviews (sample of 10-20 accounts)
  • Risk metrics (VaR, CVaR, stress tests)
  • Hedging effectiveness analysis

Reporting:

  • Investment committee memo
  • Client newsletter (monthly market commentary)
  • Compliance reporting
  • Risk report to senior management

14. Part V: Regime-Change Assessment Framework (Detailed)

Beyond tactical scenario navigation, fund managers must assess whether the shutdown represents a temporary disruption or a permanent shift in US governance—requiring fundamental changes to long-term portfolio construction philosophy.

This section provides a quantitative, systematic framework for making that assessment.

14.1 The Three Potential Regimes

Regime 1: Traditional Shutdown Dynamics

Characteristics:

  • Shutdowns remain rare, exceptional events (once per 5-10 years)
  • Temporary disruptions with full reversibility
  • Both parties view shutdowns as failures, not tools
  • International reserve currency status secure
  • US institutional credibility intact
  • Markets treat shutdowns as noise, not signal

Portfolio Implications:

  • Standard modern portfolio theory applies
  • US equity home bias appropriate (60-70% of equity allocation)
  • Normal diversification sufficient (60/40 or 65/35)
  • Alternatives remain tactical (0-5%)
  • Risk management: Standard volatility management
  • Return expectations: Historical norms (8-10% balanced portfolio)

Historical Examples:

  • 1995-96 shutdowns: Resolved within 21 days; full recovery
  • 2013 shutdown: 16 days; temporary market impact
  • 2018-19 shutdown: 35 days but ultimately traditional dynamics prevailed

Regime 2: New Normal of Persistent Dysfunction

Characteristics:

  • Shutdowns become recurring governance tool (every 1-2 years)
  • Partial reversibility; some structural damage persists
  • At least one party views shutdowns as acceptable pressure tactic
  • Federal workforce subject to repeated reduction attempts
  • Political risk premium required on US assets
  • Elevated volatility becomes structural feature
  • International reserve currency status intact but questioned
  • US exceptionalism narrative weakened

Portfolio Implications:

  • Modified portfolio construction required
  • Reduce US home bias by 5-10% (increase international)
  • Permanent defensive tilt: 58/32/10 (equity/fixed income/alternatives)
  • Alternatives become strategic: Gold 3-5%, Infrastructure 5%
  • Permanent higher cash buffer (3-5% vs. 0-2%)
  • Quality bias: Fortress balance sheets, dividend aristocrats
  • Sector tilts: Permanent overweight defensives (+2% Healthcare, +2% Staples)
  • Risk management: Permanent tail hedging (1-1.5% annual cost)
  • Baseline volatility assumptions: VIX 18-20 (vs. 15-16 historical)
  • Return expectations: Lower (6-8% balanced portfolio)
  • Sharpe ratio: Lower (0.4-0.5 vs. 0.6-0.8 historical)

Triggers:

  • This shutdown + another within 24 months = New Normal confirmed
  • RIF implementation proves repeatable template
  • Shutdowns last 6+ weeks routinely
  • Markets price persistent 50-75 bps political risk premium

Regime 3: Constitutional/Institutional Crisis

Characteristics:

  • Fundamental breakdown of US governance institutions
  • Recurring crises extending beyond shutdowns (debt ceiling, etc.)
  • Federal government capacity materially reduced
  • International reserve currency status meaningfully impaired
  • US “safe haven” status questioned
  • Emerging market-style dysfunction in developed economy context
  • Political risk becomes PRIMARY portfolio consideration

Portfolio Implications:

  • Major portfolio restructuring required
  • Significant US underweight: 50/30/20 (equity/FI/alternatives)
    • US equity reduced from 80% to 60% of equity allocation
    • International equity increased from 20% to 40%
  • International bond allocation: 10-15% of fixed income
  • Alternatives elevated: Gold 8-12%, Infrastructure 5%, Commodities 2-3%
  • Currency diversification: Reduce USD concentration by 15-20%
  • Quality obsession: Only fortress balance sheets
  • Risk management: Substantial permanent hedging (2-3% annual cost)
  • Baseline volatility: VIX 22-25
  • Return expectations: Significantly lower (5-6% balanced)
  • Focus: Real returns and capital preservation over nominal growth

Triggers:

  • Sovereign credit downgrade (multi-notch)
  • Multiple shutdowns per year
  • Debt ceiling breach/payment prioritization
  • International reserve managers materially diversify (>10% reduction in USD assets)
  • Fed independence questioned/compromised
  • Shutdowns last 75+ days

14.2 Quantitative Regime Assessment Framework

Rather than subjective judgment, use a scoring system that can be tracked monthly to assess regime probabilities.

Six Key Dimensions (100 points total):

14.2.1 1. Shutdown Frequency (20 points max)

Condition Points Current
No shutdowns in past 24 months 0
One shutdown in past 24 months 8 ✓ (current)
Two shutdowns in past 24 months 14
Three+ shutdowns in past 24 months 20

14.2.2 2. Shutdown Duration (15 points max)

Condition Points Current
Longest recent shutdown < 21 days 0
Longest recent shutdown 21-35 days 5
Longest recent shutdown 36-60 days 10 Day 24; on track for 45-60
Longest recent shutdown > 60 days 15

14.2.3 3. Workforce Restructuring Success (20 points max)

Condition Points Current
No permanent RIFs implemented 0
< 5,000 permanent RIFs (courts blocked) 5
5,000-15,000 permanent RIFs (partial success) 12 ~4K so far; trending here
> 15,000 permanent RIFs (comprehensive success) 20

14.2.4 4. Essential Services Disruption (20 points max)

Condition Points Current
Essential services preserved throughout 0
Brief disruptions (< 2 weeks) 6
Extended disruptions (2-8 weeks) 14 SNAP Nov; likely Dec
Severe disruptions (> 8 weeks) 20

14.2.5 5. Sovereign Credit Status (15 points max)

Condition Points Current
AAA/Aaa from all three agencies 0 S&P already AA+
One agency at AA+ or below 4 ✓ (current)
Two agencies at AA+ or below 9
Multi-notch downgrade(s) or AA- or below 15

14.2.6 6. International Reserve Behavior (10 points max)

Condition Points Current
USD reserves stable or increasing 0 ✓ (current)
Modest USD diversification (< 5% reduction) 3
Material USD diversification (5-10% reduction) 6
Major USD diversification (> 10% reduction) 10

14.3 Current Score Calculation (October 27, 2025, Day 24)

Dimension Score Notes
Shutdown Frequency 8 / 20 One shutdown in past 24 months
Shutdown Duration 6 / 15 On track for 45-60 days (Scenario E)
Workforce Restructuring 7 / 20 4K RIFs so far; trending toward 8-12K total
Essential Services Disruption 10 / 20 SNAP November confirmed; December likely
Sovereign Credit Status 4 / 15 S&P at AA+ already; others stable for now
International Reserves 1 / 10 Early signs only; no major moves yet
TOTAL SCORE 36 / 100

14.4 Regime Probability Mapping

Score Range Regime Distribution Interpretation
0-20 points Traditional 70% / New Normal 25% / Crisis 5% Isolated incident; traditional dynamics
21-40 points Traditional 35% / New Normal 55% / Crisis 10% CURRENT RANGE
41-60 points Traditional 15% / New Normal 65% / Crisis 20% New Normal establishing; crisis risk
61-80 points Traditional 5% / New Normal 45% / Crisis 50% Crisis threshold; severe dysfunction
81-100 points Traditional 0% / New Normal 30% / Crisis 70% Constitutional crisis; fundamental breakdown

Current Regime Probability (Score: 36):

  • Traditional: 35%
  • New Normal: 55%
  • Crisis: 10%

14.5 Scenario-Specific Regime Impact

Each scenario outcome shifts the regime score:

Scenario Score Change New Total New Regime Distribution
A (Quick/Minimal) -10 to -15 21-26 Traditional 50% / New Normal 40% / Crisis 10%
B (Quick/Moderate) -5 to -8 28-31 Traditional 40% / New Normal 50% / Crisis 10%
D (Medium/Minimal) -3 to +3 33-39 Traditional 35% / New Normal 55% / Crisis 10%
E (Medium/Moderate) +5 to +10 41-46 Traditional 25% / New Normal 60% / Crisis 15%
F (Medium/Severe) +10 to +15 46-51 Traditional 15% / New Normal 65% / Crisis 20%
H (Long/Moderate) +18 to +25 54-61 Traditional 10% / New Normal 55% / Crisis 35%
I (Long/Severe) +30 to +40 66-76 Traditional 5% / New Normal 40% / Crisis 55%

14.6 Forward-Looking Indicators (Next 6-18 Months)

Regime Confirmation Indicators:

For Traditional Regime (Hope):

  • [ ] No additional shutdowns within next 18 months
  • [ ] This shutdown resolved with minimal lasting damage
  • [ ] Courts comprehensively blocked RIF attempts
  • [ ] International confidence statements (G7, IMF) supportive
  • [ ] Credit ratings stable or upgraded
  • [ ] Political rhetoric shifts away from shutdown threats

For New Normal Regime (Most Likely):

  • [ ] Another shutdown occurs within 12-18 months
  • [ ] This shutdown lasted 6-8 weeks with moderate RIFs (5,000-15,000)
  • [ ] Political discourse normalizes shutdown threats
  • [ ] Markets begin pricing persistent political risk premium (50-75 bps)
  • [ ] Corporate treasurers adjust planning for routine shutdown risk
  • [ ] Government capacity visibly reduced

For Crisis Regime (Tail Risk):

  • [ ] Multiple shutdowns in next 12 months
  • [ ] Major RIF implementation (> 15,000 workers)
  • [ ] Sovereign credit downgrade
  • [ ] Debt ceiling breach or payment prioritization
  • [ ] International reserve managers publicly discussing USD diversification
  • [ ] Fed independence questioned

14.7 Monthly Regime Update Protocol

Process (Every First Monday of Month):

  1. Scorecard Update:
    • Review each of six dimensions
    • Update scores based on developments
    • Calculate new total score
    • Map to regime probability distribution
  2. Forward Indicator Review:
    • Check which confirmation indicators have occurred
    • Assess momentum (improving vs. deteriorating)
    • Identify early warning signals
  3. Portfolio Implication Assessment:
    • If regime probabilities shift >10%, consider portfolio adjustments
    • If New Normal probability >60%, begin implementing structural changes
    • If Crisis probability >25%, accelerate defensive positioning
  4. Documentation:
    • Memo to investment committee
    • Regime scorecard (track monthly over time)
    • Portfolio implication summary
    • Client communication if significant shift
  5. Threshold Triggers:
    • Score > 45: Begin implementing New Normal portfolio adjustments
    • Score > 60: Begin implementing Crisis portfolio adjustments
    • Score < 25: Can consider reverting to Traditional portfolio

14.8 Client Communication on Regime Assessment

Explaining Regime Framework to Clients:

Sample Language:

“The government shutdown isn’t just a short-term market event—it may signal a fundamental shift in how American politics functions. We’re tracking six key metrics to assess whether this represents:

  1. Traditional (35% probability): An isolated crisis that resolves fully
  2. New Normal (55%): Recurring shutdowns become a regular tool, requiring permanent portfolio adjustments
  3. Crisis (10%): Fundamental breakdown in US governance

Our current assessment suggests ‘New Normal’ is most likely. This means we’re implementing permanent changes to your portfolio:

  • Reduce US concentration; increase international exposure
  • Permanent safe-haven allocation (gold 3-5%)
  • Higher defensive sector weights
  • Lower return expectations (7-8% vs. 9-10% historical)

We’ll update this assessment monthly and adjust your portfolio as the situation evolves.”

Key Messages:

  • This is data-driven, not emotional
  • We’re tracking specific, measurable indicators
  • Portfolio changes are gradual, not reactive
  • Regime assessment is separate from scenario analysis (different time horizons)
  • Focus on protecting capital in new risk environment

14.9 Regime Portfolio Implementation Guide

If/when regime shifts are confirmed, here’s the implementation roadmap:

From Traditional → New Normal (If Score Reaches 45+):

Timeline: Implement over 6-12 months post-crisis resolution

Phase 1 (Months 1-3):

  • Reduce US equity from 52% (80% of equity) to 49% (75% of equity)
  • Add international developed markets: +3%
  • Establish permanent gold allocation: 0% → 3%
  • Increase cash buffer: 1% → 3%

Phase 2 (Months 4-6):

  • Further reduce US equity: 49% → 42% (70% of equity)
  • Add emerging markets: +2%
  • Increase international bonds: 0% → 5% of fixed income
  • Increase gold: 3% → 5%
  • Add infrastructure: 0% → 3%

Phase 3 (Months 7-12):

  • Final US equity reduction: 42% → 39% (65% of equity)
  • International equity at 30% of equity allocation
  • Alternatives at 10%: Gold 5%, Infrastructure 5%
  • Implement permanent sector tilts
  • Establish permanent hedging program (1% annual budget)

Final New Normal Allocation:

  • Equities: 58% (down from 65%)
    • US: 39% (65% of equity; down from 80%)
    • International Developed: 13% (22% of equity)
    • Emerging Markets: 6% (13% of equity)
  • Fixed Income: 32% (up from 30%)
    • US Treasuries: 15%
    • IG Corporate: 7%
    • International Bonds: 5%
    • TIPS: 3%
    • Cash: 2%
  • Alternatives: 10% (up from 5%)
    • Gold: 5%
    • Infrastructure: 5%

From New Normal → Crisis (If Score Reaches 60+):

Timeline: Implement immediately; do not wait

Emergency Protocol:

  • Reduce US equity from 39% to 30% (50% of equity allocation)
  • International equity from 19% to 30% (50% of equity)
  • Gold from 5% to 10%
  • Cash from 2% to 5%
  • Total equity from 58% to 50%
  • Alternatives from 10% to 18%

Crisis Allocation:

  • Equities: 50%
    • US: 25% (50% of equity)
    • International: 25% (50% of equity)
  • Fixed Income: 32%
  • Alternatives: 18%
    • Gold: 10%
    • Infrastructure: 5%
    • Commodities: 3%

Philosophy Shift:

  • US is ONE component, not THE portfolio
  • Capital preservation prioritized over growth
  • Global diversification essential
  • Permanent defensive positioning
  • Accept lower returns for lower risk

This completes Part V. The regime assessment framework provides a systematic, quantitative way to monitor for permanent shifts in the investment environment, separate from tactical scenario analysis.


14.10 Key Takeaway from  Analysis:

The fundamental insight is that markets don’t care about 10,000 federal job losses (0.006% of employment). Markets DO care about:

  1. $12 billion monthly consumer spending holes (SNAP suspension) – Quantitatively significant
  2. Longest shutdown in history creating unprecedented uncertainty – Risk premium
  3. Fed operating blind without data – Policy error risk
  4. Proof that shutdowns can be weaponized for restructuring – Regime change signal

The RIF numbers matter for long-term regime assessment and political risk premium, not for explaining the magnitude of near-term equity drawdowns. This corrected framework properly reflects actual market causality rather than assuming direct proportionality between job losses and equity performance.

Navigating the Trump Tariff Tantrum

1.Introduction

In the three days following President Donald Trump’s announcement of sweeping tariffs on April 2, 2025, dubbed “Liberation Day,” the U.S. stock market experienced a dramatic downturn, often referred to as the “Trump Tariff Tantrum.” (TTT) The Dow Jones Industrial Average plummeted over 2,200 points, with the S&P 500 dropping nearly 5% and the Nasdaq falling close to 6% by April 4, erasing post-election gains and wiping out an estimated $5-6.4 trillion in market value. The tariffs, including a minimum 10% on all imports and up to 50% on goods from 57 nations, sparked fears of a global trade war, prompting retaliatory measures like China’s 34% tariffs on U.S. goods, driving recession concerns, and shifting investor expectations toward rapid Federal Reserve rate cuts. Despite some market recovery attempts by April 7, Trump’s refusal to back down and threats of further levies on China kept volatility high and confidence low.

2.Dissecting the TTT

The largest one-day move we saw in the markets’ Trump Tariff Tantrum (TTT) was -5.97%. Daily SP-500 moves since 1960 have a mean of zero, standard deviation 1, so this represents a SIX SIGMA event – something that occurs 3.4 times out of a million. There have been 18 prior occurrences (> 5.95% daily move to the downside) since 1960 but the chart below suggests they are often clustered together.

In fact only 6 times in the past has the first such occurrence been the only isolated one. So entering the market now only offers you a 6/18=33% historical odds we wont see another occurrence again in the next few days. This means you will need some decent follow-through signals to enter the market to avoid potential further extreme down days.

The TTT has witnessed a 3-day draw-down of 10.73% since tariffs were announced. This is the total extent of its damage so far. The TTT draw-down was an 8-sigma event. There have only been 10 cases of a 3-day draw-down exceeding 10.72% since 1960 and only in 3 cases was the first occurrence isolated. This leaves you with a 3/10=33% historical odds we wont see a 3-day draw-down of this nature again within the next 10 days (admittedly with small sample size).

The lesson from these two examples is clear – initial extreme downside volatility begets more extreme volatility in 2/3rds of cases. Extremes in downside are thus poor buy-the-dip signals and decent follow-through signals are required to properly approximate decent entry points.

One of the peculiar features of the TTT is that panic levels were much less than one would expect of a drawdown so ferocious in its nature. On the 2nd day of the TTT we noted that a significant back-to-back plunge like this – without an absence of 13 or 52-week highs – suggested we were not near the bottom as EVERY significant (and some not so significant) bottom since 1990 was characterized by a total lack of new highs:

This implied there had not been widespread indiscriminate (panic) selling – a hallmark of all significant bottoms. On the first big down-day of the TTT, new highs actually rose! On the 2nd six-sigma down day, new highs were still present! We assumed that there was heavy selling of large caps, but also rotation into something else:

Were it not for the Tariff market surprise, we are convinced that 12/13 March would have formed the significant bottom as depicted by the presence of a lack of new highs at that time. Finally, on the 3rd day of the TTT we saw the lack of new highs characteristic of close proximity to major market bottoms.

Geek Note : Eagle-eyed subscribers will realize that one of our most popular buy-the-dip models called “LACK”, (see LACK tab in PRO>CHARTS) is based off this lack of new highs theory when seeking actionable high confidence market entries at non-trivial market bottoms. It performs so well that it qualifies as one of the seven “bullets” in our MEGA model discussed in Section-4 below.

3.How do we measure the size of the opportunity?

Our research has highlighted six common “fingerprints” witnessed at major market bottoms. These are updated in the DASHBOARD>PANIC tab on a daily basis:

These six metrics are rare events only witnessed near major market bottoms and are a mix of drawdown, technical and breadth metric extremes and volatility measurements. The chart shows a count of the presence of these metrics. This is currently sitting at two. This PANIC indicator merely informs us that a major but rare market event is underway. The count is an expression of panic or peak selling pressure through the measurement of 6 things or “fingerprints” that are commonly present AT OR NEAR major stock market bottoms. They will be very blunt buy signals, since panic could lead to more panic. So whilst 2 levels of panic appears rare it has not been uncommon for this to reach six especially in proper bear markets.

So this is not advisable as a buy signal. Yes, if you are prepared to have massive volatility for a few weeks to even months after you enter and willing to wait out 1 year or more then likely they will appear good signals. Therefore it is best to use ACTION or FOLLOW THROUGH signals to get your market timing much closer to ground zero on these corrections rather than the broad zones depicted by the Panic diffusion (count.)


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4.How do we depict follow-through?

The tab to the right of the PANIC tab, called MEGA, contains a collection of 7 of our highest confidence follow-through signals for major market events with a PANIC count of 1 or more. At the top pane of this chart we just re-display the PANIC counts again. They are a depiction of the size of the potential opportunity. 

The seven models below the top pane present actionable buy-signals with appropriate follow-through characteristics to minimise volatility, drawdowns and post-signal new lows. We use seven models to diversify the signals as each model measures a different non-overlapping set of metrics and market conditions to make its determinations. The techniques and algorithms used by the models also differ widely. The collection also ensures we never miss an opportunity as its rare to find high confidence models that capture all opportunities.

You can observe that there are quite enough signals to keep even the most sedentary market participant busy. Also note that the models may differ by frequency and whilst rare, it is not uncommon to witness major buying signals within bull markets themselves when no panic signals are present.

You will notice than around major corrections with panic counts of 2 or more, many of these signals will “cluster” around the market trough. In fact historically, at least three (3) models have issued signals closely together around major bear markets. To limit risk (its always there) you could elect (as an example) to deploy 33% of free reserves into the market each time you see a signal, to stage your entries.

5. Can we determine exact bottom probabilities?

PRO subscribers can go review the SP500 GEN2 Probability model for exact statistical probabilities of a market bottom based on 25 years of history. In this instance its best to review the medium-term probabilities for such a large correction, and this is depicted below:

It is showing an average probability of 80% which is derived from the drawdown probability of 90% and the duration probability of 71%. As this correction has been so fast because of the TTT 3-day six sigma plunge, the probability derived from comparing the current drawdown to that of the past is obviously much higher than the probability calculated from how long the correction has been compared to those of the past.

These probabilities merely offer you an indication of your likely success and how close we are to a bottom. With the medium and long-term probabilities our approach is to always consult the highest probability rather than the average when assessing trend reversal odds. So in this case we think were more on the 90% probability.

As with the PANIC diffusion these probabilities are merely guides for descision making and not action signals in themselves. They are blunt instruments and you must always rely on robust follow-through signals to provide the lowest risk actionable market entries.

6.Summary

6.1 The PANIC tab measures size and rarity of the opportunity – un-holster the pistol.
6.2 The GEN2 probability model measures proximity and your likely success – remove the safety catch.
6.3 The MEGA tab contains a chamber of 7 bullets for action – pull the trigger.

Pull the trigger multiple times in case your target (trough ground zero) moves!


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Economic Wrap – 1Q2025

Economic Wrap is a quarterly series aimed at taking an objective, evidence-based balanced view snapshot of the US and Global economies – which of course has major implications on all stock markets. It references publicly available data at the time as well as more advanced or sophisticated proprietary models from RecessionALERT that are not publicly available.

In summary, the analysis below provides an evidence-based analysis of the U.S. and global economies, highlighting a complex outlook. The U.S. labor market remains resilient with a 4% unemployment rate, consistent job growth (249,000 monthly gains since May 2024), and wages outpacing inflation (4.5% vs. 2.5%), while GDP and GDI data and NBER coincident models stay above recessionary levels, though leading indicators like the USMLEI (48% recession probability) Recession Diffusion (66% recession probability) and weakening leading labor metrics signal not inconsequential vulnerability. Globally, recovery is underway post a Q3 2023 slump, with the IMF projecting 3.3% growth for 2025, supported by rising G20 LEIs and global central bank monetary policy easing. However, risks persist, including inverted yield curves, declining consumer sentiment, and stagnant U.S. industrial production, creating a mixed picture where recession odds are non-trivial and elevated but not yet dominant. The biggest wild-card for now remains the effects and reaction of the markets and global trade to the recently announced Trump reciprocal tariffs.

1. U.S Economy Recession signals

Here we examine general, widely available public indictors, prediction markets and expert models warning of U.S recession. Several US indicators and models are currently signaling an elevated risk of a recession within the next 6-12 months, as of March 31, 2025. Here’s a breakdown of the key ones based on recent economic data and expert analyses:

1.1 Inverted Yield Curve:
The yield curve, particularly the spread between the 10-year and 3-month Treasury yields, has historically been a reliable predictor of recessions. When long-term yields fall below short-term yields (inversion), it often signals economic slowdown within 12-18 months. As of early 2025, parts of the yield curve have re-inverted, with the 10-year yield dipping below the 3-month yield. The New York Federal Reserve’s model, which uses this spread, recently estimated a recession probability of around 27% for the next 12 months, though earlier in February 2025 it was as high as 58% before adjusting with new data. Despite some questioning its reliability post-COVID, it remains a widely watched indicator.

1.2 Sahm Rule:
Developed by economist Claudia Sahm, this rule suggests a recession is underway when the three-month moving average of the unemployment rate rises by 0.5 percentage points or more above its lowest point in the prior 12 months. While unemployment has increased moderately (hovering around 4% in early 2025), it hasn’t yet triggered the Sahm Rule threshold. However, if joblessness spikes in upcoming reports (e.g., April or May 2025), it could flash a stronger recession signal, especially given softening labor demand noted in recent analyses.

1.3 GDP Nowcasts:
The Atlanta Federal Reserve’s GDPNow model recently indicated negative growth for Q1 2025, with estimates dipping into contraction territory (e.g., -2.8% cited in some posts on X). While not a long-term forecast, this real-time tracker suggests economic activity may already be faltering, raising recession risks if the trend persists into Q2. Full-year 2025 growth is still projected at 2.6% by some economists, but a sharp quarterly decline could shift sentiment. More recently gold imports have been fingered for skewing this forecast and if they are removed, the Q1 2025 growth shifts to +0.25%.

1.4 Consumer Confidence Index:
The Conference Board’s Consumer Confidence Index dropped significantly in February 2025 (to 98.3, down 7 points), the steepest decline since August 2021. The Expectations Index fell below 80 (to 72.9), a level often associated with an impending recession. Over 67% of consumers surveyed expect a downturn within the next 12 months, reflecting pessimism that could curb spending—critical since consumer spending drives about 70% of GDP.

1.5 Prediction Markets and Expert Models:
Platforms like Polymarket estimate a 40-41% chance of a recession in 2025, influenced by trade policy uncertainties under the new Trump administration. J.P. Morgan’s model aligns with this, pegging a 45% probability by year-end 2025, up from 35% earlier, citing tariff risks and slowing growth. Bloomberg Economics’ model recently raised its 12-month recession odds to 38%, incorporating factors like housing permits and consumer surveys. Goldman Sachs just increased its 12-month recession probability for the U.S to 35% from 20%

1.6 Other Leading Indicators:
The Conference Board’s Leading Economic Index (LEI) and the OECD’s leading indicators have shown mixed signals, with some components (e.g., manufacturing orders, bank lending conditions) flashing negative in May 2024 data, per S&P Global. Corporate CFO surveys (e.g., CNBC’s Q1 2025 poll) also predict a recession in the second half of 2025, driven by trade war fears and policy uncertainty, with 95% of CFOs noting impacts on business decisions.

1.7 Context, Caveats & Summary:

  1. Timing Variability: The yield curve’s signal can precede a recession by up to 18 months, so an inversion now might point to late 2025 or early 2026. The Sahm Rule and GDP nowcasts are more immediate, reacting to current data.
  2. Mixed Signals: Despite these warnings, job growth remains solid (e.g., 249,000 monthly average in May 2024), and household spending has held steady, per Census Bureau data. This suggests the economy isn’t in freefall yet.
  3. Policy Impact: Trump’s proposed tariffs and immigration policies are wild cards, potentially amplifying risks by raising costs and constraining labor supply, as noted by J.P. Morgan and CNBC surveys.
  4. In Summary: The inverted yield curve, weakening GDP nowcasts, declining consumer confidence, and elevated probabilities from models like those of the NY Fed, J.P. Morgan, and Polymarket are the primary indicators pointing to a potential recession within 6-12 months (i.e., by September 2025 to March 2026). However, the absence of a full Sahm Rule trigger and resilient job/household data temper the immediacy, suggesting a slowdown rather than an imminent collapse—unless external shocks (e.g., tariffs) accelerate the downturn. Keep an eye on unemployment reports, Q2 GDP and developments on US tariffs policy for clearer confirmation.

2. U.S Economy Expansion signals

Here are additional important counterpoints specific to the US economy that argue against a recession within the next 6-12 months (i.e., by September 2025 to March 2026). These factors highlight resilience and could offset some of the recessionary signals previously mentioned:

2.1 Strong Labor Market Persistence:
Despite a slight uptick in unemployment (around 4% in early 2025), the US job market remains robust. The May 2024 average of 249,000 monthly job gains (per Census Bureau data) and a low layoffs rate suggest employers are holding onto workers, a stark contrast to pre-recession periods like 2007. Wage growth, while moderating, still outpaces inflation (e.g., 4.5% annualized vs. 2.5% CPI), bolstering household income. A resilient labor market could sustain consumer spending, delaying or averting a downturn through late 2025.

2.2 Consumer Spending Resilience:
Consumer spending, which accounts for roughly 70% of US GDP, has held steady despite confidence dips. Retail sales data from the Census Bureau show consistent growth into early 2025, supported by excess savings from pandemic-era stimulus (estimated at $1.5 trillion remaining by some analysts). Holiday spending in 2024 exceeded expectations, per Mastercard, signaling that households aren’t yet in retrenchment mode—a key buffer against recessionary pressures into mid-2025.

2.3 Monetary Policy Flexibility:
The Federal Reserve has room to maneuver after pausing rate hikes in 2024 and signaling potential cuts in 2025 if growth falters. With inflation near the 2% target (2.5% in recent estimates), the Fed could lower rates by 50-100 basis points by Q3 2025, stimulating borrowing and investment. This contrasts with pre-2008 conditions when rates were already high, leaving less room to act. Goldman Sachs cites this flexibility as a reason for their 35% recession odds, arguing it could extend the expansion through 2025.

2.4 Corporate Profit Strength:
S&P 500 earnings grew by 7% in 2024, per FactSet, with Q1 2025 projections holding steady at 6-8%. Tech and energy sectors, bolstered by AI investment and stable oil prices, are driving profits, cushioning the broader economy. Strong balance sheets—built from post-COVID cost-cutting—mean fewer firms are at immediate risk of distress, even if growth slows. This corporate resilience could keep investment and hiring afloat into 2026.

2.5 Housing Market Stabilization:
Unlike pre-2008, the housing sector isn’t a bubble primed to burst. While building permits have weakened (a recession signal in some models), home prices remain elevated due to low inventory, and mortgage rates have eased slightly from 2023 peaks (e.g., 6.5% for 30-year fixed in early 2025). The National Association of Realtors reports steady demand, suggesting housing won’t drag GDP down as it did in past recessions—potentially stabilizing growth through late 2025.

2.6 Fiscal Policy Boost:
The Trump administration’s agenda, including tax cut extensions and infrastructure spending, could inject stimulus into the economy starting in 2025. While tariffs pose risks, the Congressional Budget Office estimates that proposed tax relief could add 0.5-1% to GDP growth annually. If implemented swiftly, this fiscal tailwind might offset trade-related headwinds, pushing recession risks beyond March 2026.

2.7 Energy Price Moderation:
US energy independence and OPEC+ production adjustments have kept oil prices in a manageable range (e.g., $70-80/barrel in early 2025). This avoids the stagflationary shocks of past downturns, preserving disposable income and business margins. Lower energy costs could sustain economic activity through mid-2025, countering global commodity volatility.

2.8 Context and Implications:

These counterpoints suggest the US economy retains significant buffers: a tight labor market, healthy consumer and corporate finances, and policy levers to stimulate growth. They align with optimistic forecasts like Goldman Sachs’ (35% recession odds) and contrast with gloomier indicators like the yield curve or consumer confidence drops. However, their effectiveness hinges on execution (e.g., Fed timing, fiscal rollout) and external factors (e.g., no major trade war escalation). If unemployment spikes unexpectedly or tariffs disrupt supply chains, these strengths could erode quickly.

In short, the US economy’s labor resilience, consumer spending, policy flexibility, and sectoral stability provide compelling counterarguments to a near-term recession. These factors could keep growth positive—or at least delay a downturn—into 2026, barring significant shocks. Monitor jobs reports and Fed actions in Q2 2025 for confirmation of this trajectory.

3. U.S Economy Head-to-head

Determining whether the US recession arguments or the counterpoints “win the day” depends on weighing the strength, immediacy, and reliability of the evidence on both sides. Here’s an analysis to assess which set of arguments currently holds the upper hand:

3.1 Recession Arguments – Strengths :

  1. Historical Reliability: The inverted yield curve (e.g., 10-year vs. 3-month Treasury spread) has predicted every US recession since the 1950s with a lead time of 12-18 months. Its re-inversion in early 2025 strongly suggests a downturn by late 2025 or early 2026.
  2. Consumer Sentiment Drop: The Conference Board’s Expectations Index falling below 80 (to 72.9 in February 2025) has preceded recessions consistently, reflecting a self-fulfilling prophecy as spending slows. Over 67% of consumers expecting a downturn adds psychological weight.
  3. Model Consensus: J.P. Morgan (45%), Polymarket (40-41%), and Bloomberg Economics (38%) align on elevated recession odds within 12 months, bolstered by trade policy risks and GDP nowcasts showing Q1 2025 contraction (e.g., -2.8% per Atlanta Fed).
  4. External Risks: Trump’s tariff proposals (25% on Canada/Mexico, 20% on China) could disrupt trade, raise costs, and trigger retaliation, amplifying global and domestic slowdown signals by Q3 2025.

3.2 Recession Arguments – Weaknesses:

  1. Timing Uncertainty: The yield curve’s signal can lag by up to 18 months, pushing a recession beyond March 2026—outside the 6-12 month window. The Sahm Rule hasn’t triggered yet (unemployment rise below 0.5 points), weakening near-term urgency.
  2. Mixed Data: GDP growth forecasts for 2025 (e.g., 2.6% full-year) and solid job gains (249,000 monthly average in May 2024) contradict immediate collapse narratives.

3.3 Counterpoints – Strengths :

  1. Labor Market Resilience: A 4% unemployment rate, consistent job growth, and wage increases outpacing inflation (4.5% vs. 2.5%) provide a sturdy foundation. Pre-recession labor markets typically show sharper deterioration, absent here.
  2. Consumer Spending Power: Excess savings ($1.5 trillion) and steady retail sales (e.g., strong 2024 holiday spending) suggest households can weather sentiment dips, sustaining 70% of GDP through late 2025.
  3. Policy Levers: The Fed’s ability to cut rates (potentially 50-100 basis points) and Trump’s fiscal plans (tax cuts, infrastructure) offer proactive buffers, unlike pre-2008 constraints. Goldman Sachs’ 35% odds reflect confidence in these tools.
  4. Corporate and Sectoral Health: S&P 500 profit growth (7% in 2024, 6-8% projected for Q1 2025) and a stable housing market (no bubble, easing rates) reduce systemic risks, supporting investment and growth into 2026.

3.4 Counterpoints – Weaknesses:

  1. Vulnerability to Shocks: Tariffs or a sudden unemployment spike could overwhelm these strengths, eroding consumer and corporate confidence faster than policy can respond.
  2. Over-Optimism: Counterpoints assume smooth policy execution and no major external disruptions (e.g., Middle East conflict spiking oil prices), which may underestimate tail risks flagged by recession models.

3.5 Head-to-Head Evaluation:

  1. Immediacy: Recession signals like GDP nowcasts and consumer confidence are flashing now, but lack confirmation from real-time triggers like the Sahm Rule. Counterpoints lean on current strengths (jobs, spending) that are tangible and ongoing, giving them a slight edge in the 6-12 month window.
  2. Predictive Power: The yield curve and consumer expectations have stronger historical track records than labor resilience or policy promises, which can falter under stress. This tilts long-term credibility toward recession arguments.
  3. Magnitude of Impact: Recession risks amplify if trade wars escalate, a plausible near-term catalyst. Counterpoints rely on stability and gradual policy effects, which may not match the speed of a tariff-driven shock.
  4. Data Balance: The economy’s mixed signals—growth forecasts vs. sentiment drops—mean neither side has a knockout punch yet. However, counterpoints benefit from observable, positive metrics over speculative downturn risks.

3.6 Verdict: Counterpoints Edge Out (for Now):
The counterpoints narrowly “win the day” within the 6-12 month horizon (September 2025 to March 2026). The US economy’s current resilience—robust jobs, consumer spending, and policy flexibility—outweighs the recession signals’ immediacy, which are potent but not fully crystallized (e.g., no Sahm Rule trigger, yield curve lag). The labor market and household finances provide a buffer that could hold through mid-2025, absent a major shock like tariff implementation or a geopolitical crisis.

However, the recession arguments retain a strong case for a downturn by late 2025 or early 2026, especially if external risks materialize. The counterpoints’ victory is conditional and fragile—watch unemployment trends, Fed moves, and trade policy outcomes in Q2 2025. If those tilt negative, the recession side could reclaim dominance swiftly. For now, resilience trumps warning signs, but it’s a close call.

4. Global Economy Recession signals

Here we examine general, widely available public indictors, prediction markets and expert models warning of global recession. Several global economic indicators and models are signaling an elevated risk of a global recession within the next 6-12 months (i.e., by September 2025 to March 2026). Below is an overview of the key indicators and models currently pointing to this possibility, based on recent economic analyses and data:

4.1 Inverted Global Yield Curves:
Globally, the inversion of yield curves—where short-term interest rates exceed long-term rates—remains a potent recession signal. For instance, the US 10-year minus 3-month Treasury spread, a benchmark influencing global markets, has re-inverted in early 2025, reflecting expectations of economic slowdown. Similar patterns are observed in other major economies like Germany and the UK, where yield curve inversions have historically preceded recessions by 12-18 months. This suggests a potential global downturn could emerge by late 2025 or early 2026, driven by tighter monetary policies and weakening investor confidence.

4.2 OECD Composite Leading Indicators (CLI):
The Organisation for Economic Co-operation and Development (OECD) tracks leading indicators across its 38 member countries. Recent CLI data (as of May 2024, per S&P Global) shows a downward trend in several advanced economies, particularly in manufacturing and new orders, signaling a loss of economic momentum. While not yet at recessionary levels across all regions, the CLI’s softening in Europe and parts of Asia (e.g., Japan) raises concerns about a synchronized global slowdown within the next year, especially if trade disruptions intensify.

4.3 Global PMI (Purchasing Managers’ Index):
The J.P. Morgan Global Manufacturing PMI has hovered near or below the 50 threshold (indicating contraction) in recent months, with February 2025 data reflecting weakness in export orders due to anticipated US tariffs under the Trump administration. A sustained drop below 50, particularly if services PMIs follow, could foreshadow a recession by Q3 2025, as manufacturing often leads broader economic cycles. Europe’s PMI, especially in Germany, is already in contraction territory, amplifying global risks.

4.4 Consumer Confidence Declines:
Globally, consumer confidence is waning, a critical indicator given that consumption drives much of economic activity. In the US, the Conference Board’s Consumer Confidence Index fell sharply in February 2025 (to 98.3), with expectations dropping below 80—a recessionary signal. Similar declines are noted in Europe (e.g., Eurozone Consumer Confidence at -14.8 in early 2025) and China (post-COVID recovery stalling). If this pessimism curbs spending further, a global recession could materialize by late 2025, as seen in past downturns like 2008.

4.5 Prediction Markets and Expert Models:
Polymarkets’ global recession odds for 2025 stand at 41%, up from earlier estimates, reflecting trader bets on policy shocks like US tariffs (25% on Canada/Mexico, 20% on China). J.P. Morgan’s global recession probability rose to 40% for 2025 (from 35%), citing trade war risks and slowing US/China growth. The World Bank’s January 2025 “Global Economic Prospects” warns of a 2.7% global growth rate in 2025—near recessionary levels if downside risks like trade policy shifts or energy price spikes materialize. Bloomberg Economics pegs a 38% chance of a US-led global slowdown, factoring in consumer and trade data.

4.6 IMF and World Bank Warnings:
The International Monetary Fund (IMF) projects global growth at 3.3% for 2025 (March 2025 World Economic Outlook update), but flags downside risks from escalating conflicts (e.g., Middle East), tighter financial conditions, and trade fragmentation. A drop below 3% is often a recession precursor, and their alternative scenarios suggest a 2.5% growth rate if trade tensions worsen—possible by Q4 2025. The World Bank echoes this, highlighting policy uncertainty and climate shocks as triggers for a downturn within 12 months.

4.7 Trade and Commodity Signals:
The Baltic Dry Index, a measure of global shipping demand, has softened in early 2025, hinting at reduced trade activity amid tariff threats. Commodity prices, particularly oil, are volatile due to OPEC+ cuts and geopolitical tensions, with potential spikes risking stagflation—a recessionary condition last seen in the 1970s. Copper prices, a bellwether for industrial activity, have also trended lower, signaling weaker global demand by mid-2025 if current trajectories hold.

4.8 Context, Caveats & Summary:

  1. Timing Uncertainty: Indicators like yield curves and PMIs often lead recessions by 6-18 months, placing the risk window between late 2025 and early 2026. Consumer confidence and trade signals, however, can accelerate this timeline if shocks intensify.
  2. Regional Divergence: Europe and China face higher immediate risks (e.g., Germany’s industrial slump, China’s property sector woes), while emerging markets like India (6.2% growth forecast) may offset some global weakness—delaying but not preventing a broader recession.
  3. Policy Shocks: Trump’s tariff proposals and potential retaliatory measures from trading partners (e.g., EU, China) are wildcard factors. J.P. Morgan notes a possible 10-point tariff hike could slash global growth by 0.5%—enough to tip the scales by Q3 2025.
  4. Summary : Inverted yield curves, declining OECD CLIs, weakening PMIs, falling consumer confidence, and elevated model probabilities from J.P. Morgan, Polymarket, and the World Bank are key global indicators pointing to a recession risk within 6-12 months. The interplay of trade policy shocks and regional vulnerabilities heightens this likelihood, though robust pockets of growth could still avert a full downturn. Watch PMI trends, OECD CLI’s and trade developments in Q2 2025 for clearer signals.

5. Global Economy Expansion signals

Here are important counterpoints specific to the global economy that argue against a recession within the next 6-12 months (i.e., by September 2025 to March 2026). These factors highlight resilience and could offset some of the recessionary signals previously outlined:

5.1 Emerging Market Growth Momentum:
Economies like India and Southeast Asia are projected to grow robustly, with India’s GDP forecast at 6.2% for 2025 (per IMF) and ASEAN countries averaging 4-5%. These regions, less exposed to US tariff risks, are benefiting from manufacturing shifts away from China and strong domestic demand. Their buoyancy could offset slowdowns in advanced economies (e.g., US, Europe), stabilizing global growth through late 2025.

5.2 Global Services Sector Strength:
While manufacturing PMIs signal contraction (e.g., J.P. Morgan Global Manufacturing PMI near 50), the services sector—comprising over 60% of global GDP—remains resilient. In the US, Eurozone, and parts of Asia, services PMIs are holding above 50 in early 2025, driven by digital transformation and consumer spending. This resilience could delay a full recessionary slide into 2026, cushioning weaker industrial activity.

5.3 Central Bank Adaptability:
Major central banks (Federal Reserve, ECB, Bank of Japan) have signaled willingness to ease monetary policy if growth falters. With global inflation cooling (e.g., 3% average in OECD countries), rate cuts in 2025—potentially 50-75 basis points by Q3—could stimulate investment and consumption. The ECB, for instance, has room to act as Eurozone inflation nears 2%, offering a buffer against recession risks through mid-2025.

5.4 Energy Market Stability:
Despite geopolitical tensions, oil prices remain manageable ($70-80/barrel in early 2025), thanks to OPEC+ coordination and US production. This avoids the energy price shocks that fueled past global downturns (e.g., 1970s stagflation). Stable energy costs support industrial activity and household budgets, potentially sustaining growth into Q1 2026.

5.5 Corporate Cash Reserves:
Globally, corporations have amassed significant cash reserves post-COVID, with S&P Global 500 firms holding over $7 trillion in liquid assets by late 2024. This financial cushion—bolstered by profit growth (e.g., 7% in the US)—enables firms to weather trade disruptions or demand dips, maintaining investment and hiring through late 2025 and reducing systemic risk.

5.6 China’s Policy Stimulus:
China, the world’s second-largest economy, is rolling out fiscal and monetary measures to counter its property sector slump and boost growth (projected at 4.5% for 2025 by the World Bank). Infrastructure spending and consumer incentives could stabilize its economy, a key driver of global demand, preventing a sharper downturn by Q3 2025.

5.7 Trade Adaptation:
While US tariffs (e.g., 25% on Canada/Mexico, 20% on China) pose risks, global supply chains have shown adaptability since COVID. Firms are diversifying sourcing (e.g., Vietnam, India) and boosting regional trade (e.g., EU-Mercosur talks advancing). This flexibility could mitigate tariff impacts, keeping global trade flows intact through mid-2025 and averting a recession trigger.

5.8 Context, Caveats & Summary:

These counterpoints emphasize the global economy’s diverse strengths: growth in emerging markets, a robust services sector, policy flexibility, and adaptive capacity. They align with optimistic outlooks like Goldman Sachs’ lower recession odds (35% for the US, with global implications) and contrast with gloomier signals like inverted yield curves or declining PMIs. Their effectiveness depends on execution (e.g., timely stimulus, trade rerouting) and avoiding major disruptions (e.g., Middle East escalation spiking oil prices). If these hold, they could push recession risks beyond March 2026.

In summary, emerging market resilience, services strength, central bank agility, energy stability, corporate buffers, China’s stimulus, and trade adaptability provide a compelling case against a global recession in the next 6-12 months. These factors could sustain growth—or at least delay a downturn—into 2026, barring significant shocks. Monitor services PMIs, China’s policy outcomes, and trade data in Q2 2025 for confirmation of this resilience.

6. Global Economy Head-to-Head

Determining whether the global recession arguments or the counterpoints “win the day” within the next 6-12 months (i.e., by September 2025 to March 2026) requires a head-to-head evaluation of their strength, immediacy, and reliability. Here’s the analysis in the same format as provided for the US economy:

6.1 Recession Arguments – Strengths:

  1. Historical Reliability: Inverted yield curves in major economies (e.g., US, Germany, UK) have consistently foreshadowed global recessions with a 12-18 month lead time. Their presence in early 2025 points to a potential downturn by late 2025 or early 2026.
  2. Consumer Sentiment Drop: Declines in consumer confidence across key regions—US (Expectations Index at 72.9), Eurozone (-14.8), and China (post-COVID stall)—signal reduced spending, a critical driver of global GDP. This pessimism could accelerate a slowdown by Q3 2025.
  3. Model Consensus: J.P. Morgan (45%), Polymarket (41%), and Bloomberg Economics (38%) converge on heightened recession odds within 12 months, amplified by trade policy risks (e.g., US tariffs) and weakening PMIs (global manufacturing near 50).
  4. External Risks: Escalating trade tensions (e.g., 25% US tariffs on Canada/Mexico, 20% on China) and geopolitical flashpoints (e.g., Middle East) could disrupt supply chains and spike commodity prices, triggering a synchronized global downturn by mid-2025.

6.2 Recession Arguments – Weaknesses:

  1. Timing Uncertainty: Yield curve inversions and PMI declines often precede recessions by up to 18 months, potentially pushing the downturn beyond March 2026—outside the 6-12 month window. Immediate triggers like a sharp PMI drop below 50 across services haven’t materialized yet.
  2. Mixed Data: Global growth forecasts (e.g., IMF’s 3.3% for 2025) and resilience in emerging markets (e.g., India at 6.2%) suggest the economy isn’t in freefall, diluting the urgency of recession signals.

6.3 Counterpoints – Strengths :

  1. Emerging Market Resilience: India (6.2% growth) and ASEAN (4-5%) provide a counterweight to advanced economy slowdowns, sustaining global demand and trade flows through late 2025.
  2. Services Sector Strength: Global services PMIs above 50 (e.g., US, Eurozone) underpin over 60% of GDP, offering a buffer against manufacturing weakness and potentially delaying recession into 2026.
  3. Policy Levers: Central banks (Fed, ECB, BoJ) have room to cut rates (e.g., 50-75 basis points by Q3 2025), while China’s stimulus (infrastructure, consumer incentives) could stabilize its 4.5% growth, supporting the global economy through mid-2025.
  4. Corporate and Trade Buffers: $7 trillion in corporate cash reserves and supply chain adaptability (e.g., shifts to Vietnam, India) reduce vulnerability to trade shocks, maintaining economic activity into Q1 2026.

6.4 Counterpoints – Weaknesses :

  1. Vulnerability to Shocks: A rapid escalation of tariffs or an energy price surge (e.g., Middle East conflict) could overwhelm these strengths, hitting trade-dependent economies and consumer budgets faster than policy can respond.
  2. Over-Optimism: Counterpoints assume effective policy coordination and no major geopolitical disruptions, underestimating tail risks like those flagged by recession models (e.g., World Bank’s 2.7% downside scenario).

6.5 Head-to-Head Evaluation :

  1. Immediacy: Recession signals like weakening PMIs and consumer confidence are active now, but lack a definitive global trigger (e.g., services PMI collapse). Counterpoints draw on current strengths (services, emerging markets) that are measurable and ongoing, giving them a slight edge in the 6-12 month window.
  2. Predictive Power: Yield curves and consumer sentiment have a stronger track record of signaling global downturns (e.g., 2008) than services resilience or emerging market growth, which can falter under systemic stress. This tilts long-term credibility toward recession arguments.
  3. Magnitude of Impact: Recession risks escalate quickly if trade wars or commodity shocks hit, outpacing the gradual stabilizing effects of policy or corporate buffers. This gives recession arguments an edge in potential severity.
  4. Data Balance: Mixed signals—global growth forecasts vs. trade risks—mean neither side dominates fully. Counterpoints, however, leverage tangible positive trends over speculative risks, offering a near-term advantage.

6.6 Verdict: Counterpoints Edge Out (for Now)
The counterpoints narrowly “win the day” within the 6-12 month horizon (September 2025 to March 2026). The global economy’s current resilience—emerging market growth, services strength, policy flexibility, and adaptive trade—outweighs the recession signals’ immediacy, which are compelling but not yet conclusive (e.g., no widespread PMI collapse, yield curve lag). These buffers could sustain growth—or at least postpone a downturn—through mid-2025, barring a major shock like tariff escalation or geopolitical crisis.

That said, the recession arguments hold a potent case for a downturn by late 2025 or early 2026, especially if external risks intensify. The counterpoints’ edge is tenuous and hinges on stability in trade and energy markets. Watch global PMIs, China’s stimulus impact, and US tariff rollout in Q2 2025. If these turn negative, the recession side could swiftly take over. For now, resilience prevails, but it’s a tight race.

7. Summary of public data

In this analysis, we evaluated the likelihood of a recession within the next 6-12 months (September 2025 to March 2026) for both the US and global economies, as of March 31, 2025, by examining key public indicators and models predicting a downturn against counterpoints highlighting resilience. For the US, recession signals like an inverted yield curve, declining consumer confidence, and elevated model probabilities (e.g., J.P. Morgan at 40%) were weighed against robust job growth, consumer spending, and policy flexibility, with counterpoints edging out due to current economic strength. Globally, recession warnings from yield curves, weakening PMIs, and trade risks were pitted against emerging market growth, services sector strength, and central bank adaptability, with counterpoints again prevailing narrowly due to ongoing resilience. Each evaluation included a head-to-head comparison of strengths, weaknesses, immediacy, and predictive power, concluding that while recession risks loom—especially if trade or geopolitical shocks hit—the US and global economies’ buffers provide a slight edge against an imminent downturn, though the situation remains fluid and warrants close monitoring over the next few quarters.

8. The RecessionALERT data

In this section we will observe key non-public proprietary metrics from RecessionALERT to complement the public view in sections 1 through 7.

8.1 Recession Concerns
We can confirm that concerns about a US recession are on the rise again, noting however that it is isolated to the “recession” search term on Google and not the other search terms that have historically accompanied a genuine recession or wholesale recession scare such as 2022. However as this search term dominates in the search volume rankings of the group, it has had the effect of raising the volume-weighted average considerably for the month of March:

8.2 The US Coincident data
The NBER Big-Six coincident indicator shows a US economy that weakened considerably in 1Q2023, narrowly missing recessionary levels, but has since recovered and actually appears on the mend:

8.3 The Trade Volume Data
U.S (and global) trade volumes look surprisingly robust and support the view of a healthy current economy. Both appear to be actually going parabolic:

Given the massive jump the US is showing recently, one cant but help wonder if this jump is due to the gold imports issue that is being fingered for depressing the Real GDPNow forecast. Indeed this appears to be the case:

Ignoring this anomaly, trade volumes in the US are nonetheless on the climb.

8.4 The Industrial Production Data
Global industrial production seem unfazed:

..but the US data is moribund:

8.5 The GDP Data
The worlds 41 largest economies, accounting for over 95% of global GDP, are on the mend after a 3Q2023 slump, most likely the depth of a global recession (not yet declared by OECD by coinciding with the US slump at the time). Another coincident (actually GDP is slightly rear-view) metric showing world economy on the mend.

US GDP & GDI combined data is nowhere near recessionary levels but 1Q2025 will be an interesting print given the GDPNow forecasts skewed with the gold imports. Our combined GDP/GDI model (GDPI) in black below is compared to the Philadelphia FED GDP Plus model:

8.6 The U.S Leading economic data
The higher frequency Weekly Leading Economic Index (WLEI) and the pseudo-weekly SuperIndex are showing a non-trivial weakening of late. It should be noted that whilst the WLEI entered expansion territory around mid-2023, with strong future growth signalled all the way to late 2024 before declining again, the SuperIndex has yet to raise its head above water. The Weekly Leading Aggregate (WLA) which is just the average of these two is now flirting with the recessionary warning line.

The 23 factor US Monthly Leading Economic Index (USMLEI), from which we derive 5 different probability models for recession (and focus on the top-2 probabilities) has also failed to keep head above water for longer than a 2-month stint, with over 61% of its 23 components still in recession territory. This is a story being witnessed among many other monthly leading indices such as the Conference Board one. Whilst they showed things getting much less worse from about mid 2023 they never quite reached the “things are getting better” situation. The Top-2 probabilities are now hovering around the 45% mark, very similar to other figures we saw in section 1.5 at the beginning of this report.

8.7 The Global Leading Economic Data:
Lets look at the leading global data, picked from our monthly Global Economic Report. One of the most widely followed metrics among our clients is the percentage of G20 countries with rising “headline” LEI indices (the actual indices, not the growth metrics.)  This is popular due to its high correlation to US stock market movements with an 8-month lead, as shown below. This correctly signaled a boom in US stocks from 1Q2023 to this day and suggests further upside for US stocks:

This is one of the more bullish indicators right now since this correlation to future 8-month US stocks movements extends to US economic data too – effectively giving us a “leading indicator for the US leading data” or in mathematical terms “a 2nd-deriviative” for the USMLEI or in economic terms, “a long-leading indicator for US economic conditions“. This is also suggesting a strong tailwind for the USMLEI and other such variants such as the Conference Board LEI:

There is a caveat to this bullish metric though. If we examine its 1st derivative, namely the percentage of G20 countries with rising LEI growth metrics (based on six month smoothed growth of the headline LEI for each country) we see some cause for caution as this breadth metric is not only slowing, but it has gone “negative” (below 50%). This tells us that these headwinds are at high risk of petering out since the 1st derivative is a “leading indicator” for 3-4 month future direction of the %G20 with rising LEI metric:

On the topic of global leading data, another important leading indicator is the breadth of global central bank monetary policy easing, as measured by the % countries with falling interest rates. This has maximum correlation with US leading economic data (USMLEI) when pushed a full 12 months into the future, maximum correlation with annual US stock returns when pushed 10 months into the future and maximum correlation with the global manufacturing PMI when pushed 8 months into the future:

  So for now, global monetary policy and % OECD countries with rising LEI’s are strongly suggesting future growth ahead for the global economy and US stocks for the next 6-8 months.

8.8 Composite Market Health Index (CMHI).
One of the more interesting indicators we developed and introduced many moons ago is the CMHI (see initial launch and subsequent improvements.)
Although this was initially developed to measure “health” of the US stock market, it also was adept at signalling warning of recessions and associated bear markets.
A short history is shown below, but the indicator has working historical data and successful warning of all US recessions going back to 1968:

Whilst this model does not produce probabilities of recession like our purpose built recession models, it does provide for fantastic high confidence “new bull market signals” (the green circled dots) and a vulnerability warning when it drops below the regression trend of 0.319 and a more decisive warning when it drops below zero. As we can see we have had the first warning in March from the monthly version above as it fell below the long-term regression trend. The daily published version (DCMHI) provided warning on 13 March 2025 and the weekly version (WCMHI) on week ended 14 march 2025. The OPT-CMHI trading regimen built around CMHI went to cash on 13 Jan 2025.

8.9 The US Labor Data
The coincident US labor data remained the “last man standing” when all the leading data tanked in 2023. As seen at the beginning of this note in section 1, it is often cited as a counter to more bearish data. The most watched metric by far for the last 18 months has been the “Sahm rule” (which uses the unemployment rate) which although flagging recession in July and Aug 2024, the author of the indicator claimed immigration as the cause for unemployment rising and as a reason to ignore the signal. At the time she made this statement, we published a research paper titled “The SAHM Rule Redux” where we looked at more varied, efficient, accurate, timely and robust interpretations using alternate models and even state and metro level employment data.

Lets have a look at what they are saying as at December 2024 (subscribers get get later data in the Monthly Charts section):
The original SAHM rule is the black line having risen above the 0.5 trigger for 2 months. We see clearly that the Metro (blue line) and State-level (red line) versions were painting a far worse picture with much earlier warning, around the time all the other leading economic data tanked, dragging all the monthly leading economic indices into recession territory. Our preferred interpretation, the “Cycle Low” SAHM in yellow signaled recession 1 month before the original SAHM and remains in recession territory:

In addition to maintaining the SAHM and its derivates for subscribers, we also maintain the US Cyclically Sensitive Labor Market Index (CSLMI) – an equally weighted growth index of 8 monthly updated labor market components that are highly cyclically sensitive to the labor market and U.S business cycle. These are thus typically labor components that turn down 8-months before the traditional labor market defined by the widely used national unemployment rate and U.S non-farm payrolls. It is thus a leading labor market index:

Whilst never quite entertaining a visit below the “Always recession below this line” and remaining in the “Soft Landing zone” the visitation below zero was rather extended at 30 months and remains below zero despite recent attempts at a sluggish recovery.

In conclusion, whilst payroll employment, the main labor indicator used by the NBER in its recession declaration models appears robust, just about everything else labor related appears downright vulnerable.

8.10 The Recession Forecast Diffusion (RFD)
We maintain 15 economic and recession models specialising is labour, housing, and coincident, short-leading, medium leading and long leading generic composites. The charts below show a diffusion counting what percentage of these 15 models are in their respective recession warning territories as at March 2025:

We can see a large jump in March as 4 models fell back into their respective recession territories, taking the total to  10 models in recession. If we imply a recession probability from this chart we can say that US recession odds climbed from 40 to over 66% in March 2025.

8.11 Yield Curve Inversion
After a near universal yield curve un-inversion on week ended 10 Jan 2025, yield curves have started inverting again. Currently 50% of 28 treasury yield curves are inverted, with it touching 60% (the suggested recession trigger) on week ended 21 Mar 2025. Assuming the percentage of yield curves inverted as a proxy for odds of recession mean we are at 50-60% odds of recession:

8.12 Summary of RecessionALERT data

Section 8 presents a mixed picture. Global indicators suggest recovery and growth potential into mid-2025, supported by rising LEIs and monetary policy easing. However, U.S.-specific data reveals vulnerabilities, with weakening leading indicators, inverting yield curves, stagnant industrial production, and labor market fragility, despite robust payrolls and non-recessionary GDP  levels and coincident NBER model. The analysis hints at a cautious outlook, with recession risks present and over 50%, but not yet dominant. With mixed pictures come uncertainty – and markets dont like uncertainty. With this in mind, we have to take cognisance of the fact that we have entered a new period of “expanding volatility” that is likely to persist for a while:

9. Summary

The RecessionAlert Economic Wrap for 1Q2025 delivers an evidence-based snapshot of the U.S. and global economies, revealing a multifaceted economic landscape. In the U.S., a robust labor market persists with a 4% unemployment rate, steady job growth averaging 249,000 monthly gains in May 2024, and wage increases (4.5%) outstripping inflation (2.5%), bolstered by GDP and GDI figures and NBER coincident models that remain non-recessionary. However, caution emerges from leading indicators like the USMLEI, with a 48% recession probability and over 61% of its components in recession territory and over 50% of treasury spreads inverted alongside a sluggish Cyclically Sensitive Labor Market Index and stagnant industrial production.
Globally, a recovery is evident following a Q3 2023 trough, with the IMF forecasting 3.3% growth for 2025, driven by rising G20 Leading Economic Indicators and widespread monetary policy easing, suggesting economic expansion into mid-2025. Recession risks linger, fueled by historical signals like inverted yield curves, declining consumer confidence across major regions, and model consensus pointing to a potential downturn by late 2025 or early 2026.

Despite these concerns, the Composite Market Health Index and global trade volumes offer some optimism, not yet confirming an imminent recession. For the U.S., payroll strength, global monetary policy and bullish global LEI correlations support potential stock market gains over the next 6-8 months, though the balance of resilience and vulnerability keeps recession odds above 50% but not yet dominant.

The close to call negatives versus positives and > 50 probabilities of recession paints a mixed picture which will cause uncertainty and more volatility in the stock market.

Current Geopolitical Risks for US

Introduction

The U.S. economy is highly interconnected with global markets, geopolitical events, and domestic policies. A variety of risks—ranging from international conflicts to domestic policy missteps—could negatively impact economic growth, potentially triggering a recession. Below is an analysis of the top geopolitical risks that could negatively impact the US economy and potentially lead to a recession. Each risk includes an estimated likelyhood of occurrence, potential unfolding of negative outcomes, GDP impact, estimated S&P 500 downside, key stock sectors affected, recession probability if the risk is realized, and likely US Federal Reserve (FED) and government responses. These estimates are based on current geopolitical trends, historical data, and economic insights, but they are inherently speculative due to the complexity and unpredictability of geopolitical events. Likelihoods, probabilities and impacts are approximate and grounded in reasoned analysis rather than precise forecasts. The date of February 19, 2025, is assumed as the baseline, with risks evaluated over the next 12-18 months


1. US-China Trade War Intensification

  • Likelihood : 45-55%
  • Unfolding: New tariffs (e.g., Trump’s proposed 10% on all imports) could raise consumer prices, disrupt tech supply chains, and reduce US exports to China, hitting GDP growth. China retaliates, disrupting tech and consumer goods supply chains. US inflation rises, exports decline.
  • GDP Impact: -1.2% (trade contraction, higher consumer prices).
  • S&P 500 Downside: 10-15% (trade war fears in 2018 caused ~10% drops).
    • Key Losers: Technology (e.g., Apple, reliant on China); industrials (export-driven firms).
    • Key Gainers: Domestic manufacturers (e.g., steel gaining from reshoring); defense (geopolitical tension boosts spending).
  • Recession Probability: 45% (if tariffs escalate and retaliation follows, inflation could persist and consumer spending could falter).
  • FED Response : FED may cut rates to stimulate growth.
  • Government Response:  Government might offer tax relief or subsidies to affected sectors.

2. U.S.-Canada Trade Dispute

  • Likelihood : 40-45%
  • Unfolding :U.S. imposes tariffs on Canadian energy, lumber, and autos; Canada counters with tariffs on U.S. agriculture and machinery. Supply chains (e.g., autos) and energy flows (e.g., 600,000 barrels/day of oil) falter, raising costs and inflation.
  • GDP Impact: -1% $112 billion in higher import costs, reduced exports ($350 billion/year), and secondary effects from inflation and lower investment.
  • S&P 500 Downside: -10% (Broad sell-off in industrials and consumer sectors; VIX spikes to 30 as markets price in uncertainty.)
    • Key Losers: Autos (e.g., Ford, GM): 20-25% stock drop due to disrupted parts supply, Energy Importers (e.g., Valero): 15% decline from pricier crude. Consumer Discretionary (e.g., Home Depot): 10% hit from lumber costs.
    • Key Gainers: Domestic Producers (e.g., Nucor): 10-15% gain from reduced competition, Alternative Energy (e.g., NextEra): 5-10% rise as energy shifts
  • Recession Probability: 30% (A 1% GDP hit is insufficient for recession unless inflation (e.g., 5%) and spending drops persist, though U.S. resilience limits severity.)
  • FED/Government Response: FED holds rates at 4% to balance inflation and growth; may cut to 3.75% if recession looms. Government: Pursues trade talks, offers $50 billion in subsidies for domestic production, and releases SPR oil to cap prices.

3. Escalation of Russia-Ukraine War

  • Likelihood : 35-40%
  • Unfolding: An escalation involving NATO directly (e.g., troop deployment) could disrupt global energy markets, spike oil prices (e.g., Brent crude surpassing $100/barrel), and increase defense spending, straining US budgets. Supply chain disruptions for commodities like wheat and metals could fuel inflation.
  • GDP Impact: -1.5% (supply chain disruptions, inflationary pressure).
  • S&P 500 Downside: 15-20% (energy price shocks historically cause sharp corrections, e.g., 1973 oil crisis led to a 13% drop in 90 days).
    • Key Losers: Consumer discretionary (e.g., retail, autos) due to reduced spending power; industrials due to supply chain costs.
    • Key Gainers: Energy (oil & gas firms like ExxonMobil benefit from price spikes); defense (e.g., Lockheed Martin).
  • Recession Probability: 60% (persistent inflation and energy costs could overwhelm consumer resilience).
  • FED Response: FED may pause rate cuts or hike rates to combat inflation (4.5-5% range), risking growth.
  • Government Response : Government could increase energy subsidies or release Strategic Petroleum Reserve (SPR) stocks or increase defence spending.

4. Israel-Iran Conflict Widening

  • Likelihood : 30-35%
  • Unfolding: A broader Middle East war involving Iran could disrupt oil supply (Iran produces ~3 million barrels/day), pushing oil prices to $120+/barrel. Regional instability might also hit trade routes like the Strait of Hormuz. US faces energy inflation and export disruptions
  • GDP Impact: -2.0% (energy cost surge, consumer spending drop).
  • S&P 500 Downside: 15-20% (broad selloff, energy-sensitive sectors hit).
    • Key Losers: Airlines and transport (higher fuel costs); consumer goods (inflation hits demand).
    • Key Gainers: Energy (oil majors); utilities (stable demand).
  • Recession Probability: 50-60% (depends on duration of oil disruption; short-term manageable, prolonged not).
  • FED/Government Response: FED might delay rate cuts to curb inflation. Government could tap SPR or push local & OPEC for production increases.

5. European Recession (e.g., Germany Collapse)

  • Likelihood: 35%
  • Unfolding: Germany’s economy contracts sharply due to energy shortages and trade slowdown, pulling the Eurozone into recession. US exports to Europe drop significantly.
  • GDP Impact: -1.0% (reduced export demand, global slowdown).
  • S&P 500 Downside: -10% (multinationals with European exposure suffer).
    • Losers: Industrials (XLI) and materials (XLB) reliant on exports.
    • Gainers: Domestic-focused consumer staples (XLP) as a safe haven.
  • Recession Probability: 40% (external shock manageable but drags on growth).
  • FED/Government Response: FED maintains neutral stance (~3.5%), government supports exporters with trade incentives.

6. Cyberattack on US Critical Infrastructure

  • Likelihood: 25-30%
  • Unfolding: A state-sponsored attack (e.g., from Russia or China) on power grids or financial systems could halt commerce, erode confidence, and cost billions in damages.
  • GDP Impact: -2.5% (direct output loss, recovery costs).
  • S&P 500 Downside: 20-25% (unprecedented but akin to pandemic-scale shocks).
    • Key Losers: Financials (banks like JPMorgan hit by system failures); tech (disrupted operations).
    • Key Gainers: Cybersecurity (e.g., CrowdStrike, Palo Alto Networks); utilities (post-recovery investment).
  • Recession Probability: 70% (systemic disruption could freeze economic activity).
  • FED/Government Response: FED could slash rates 2.5-3% and inject liquidity. Government might enact emergency spending and cyber defenses.

7. Global Trade War (e.g., Multi-Country Tariff Escalation)

  • Likelihood: 25-30%
  • Unfolding: US tariffs spark retaliation from EU, China, and others, collapsing global trade. US export sectors and supply chains weaken.
  • GDP Impact: -1.9% (trade contraction, higher input costs).
  • S&P 500 Downside: -15% (broad economic slowdown).
    • Losers: Industrials (XLI) and consumer discretionary (XLY) from trade disruptions.
    • Gainers: Utilities (XLU) as a defensive investment.
  • Recession Probability: 55% (trade collapse erodes GDP growth).
  • FED/Government Response: FED cuts rates (~3%) to stimulate demand, government seeks trade negotiations.

8. Climate Disaster (e.g., Hurricane Devastates Gulf Coast)

  • Likelihood: 30%
  • Unfolding: A major hurricane disrupts US oil refining and agriculture in the Gulf, spiking energy and food prices nationwide.
  • GDP Impact: -1.2% (regional output loss, inflationary pressure).
  • S&P 500 Downside: -12% (energy and consumer sectors suffer).
    • Losers: Energy (XLE) and consumer staples (XLP) from supply disruptions.
    • Gainers: Insurance (e.g., Travelers) post-recovery.
  • Recession Probability: 40% (temporary shock, but inflation could compound effects).
  • FED/Government Response: FED cuts rates (~3.5%) to support recovery, government funds disaster relief.

9.Taiwan Strait Crisis (e.g., Chinese Blockade)

  • Likelihood: 25%
  • Unfolding: China blockades Taiwan, disrupting global semiconductor supply (Taiwan produces 60% of global chips.) US tech & auto sector stalls, inflation rises from shortages. Trade with Asia would suffer.
  • GDP Impact: -1.7% (tech production halts, higher consumer prices).
  • S&P 500 Downside: 15-20% (tech-heavy sell-off, supply chain shocks rival COVID-19’s impact).
    • Losers: Tech (XLK) and semiconductors (e.g., Nvidia, AMD) from supply cuts and autos (production halts).
    • Gainers: Defense (e.g., Raytheon); domestic chipmakers (e.g., Intel)
  • Recession Probability: 50% (supply chain shock slows growth significantly).
  • FED/Government Response: FED cuts rates slightly (~3.5%), government subsidizes domestic semiconductor production.

10. Political Instability in the US (e.g., Post-Election Chaos)

  • Likelihood: 20%
  • Unfolding: A contested 2024 election breeds protests and policy gridlock, undermining investor and consumer confidence. Business investment stalls.
  • GDP Impact: -1.3% (uncertainty delays economic activity).
  • S&P 500 Downside: -12% (markets penalize uncertainty).
    • Losers: Financials (XLF) and small caps (IWM) from risk-off moves.
    • Gainers: Consumer staples (XLP) as a safe haven.
  • Recession Probability: 45% (confidence shock manageable but risky if prolonged).
  • FED/Government Response: FED holds steady (~4%), government pursues bipartisan stabilization.

11. Mexico Trade Dispute (e.g., 25% Tariff Imposed)

  • Likelihood: 25%
  • Unfolding: US imposes tariffs on Mexico over immigration or trade disputes, disrupting auto and agricultural trade. Inflation rises, exports decline.
  • GDP Impact: -0.9% (regional trade slowdown).
  • S&P 500 Downside: -10% (auto and consumer sectors hit).
    • Losers: Consumer discretionary (XLY) and industrials (XLI) from trade costs.
    • Gainers: Domestic producers (e.g., industrials, XLI) benefit slightly.
  • Recession Probability: 35% (regional shock manageable unless escalated).
  • FED/Government Response: FED cuts slightly (~3.5%), government negotiates resolution.

12. Mexico Cartel Violence Spillover

  • Likelihood : 30%
  • Unfolding: Escalation crossing US borders could disrupt trade (Mexico is a top US partner), raise security costs, and hit confidence.
  • S&P 500 Downside: 5-10% (regional trade impact).
    • Key Losers: Industrials (e.g., Ford, Mexico plants); retail.
    • Key Gainers: Defense (e.g., Textron); domestic firms.
  • Recession Probability: 30% (limited unless trade collapses).
  • FED/Government Response: FED supports growth. Government enhances border security

13. Eurozone Debt Crisis

  • Likelihood: 30%
  • Unfolding: A default by Italy or Greece could destabilize European banks, reduce US exports to the EU, and trigger global risk-off sentiment.
  • S&P 500 Downside: 12-18% (2011 debt crisis saw ~17% drop).
    • Key Losers: Financials (e.g., Goldman Sachs, EU exposure); industrials (export hit).
    • Key Gainers: Utilities (safe haven); consumer staples (resilient demand).
  • Recession Probability: 50% (contagion risk depends on EU response).
  • FED/Government Response: FED eases policy. Government may support trade-exposed firms.

14. Collapse of OPEC Agreement

  • Likelihood: 20%
  • Unfolding: Infighting could lead to oversupply, crashing oil prices to $40/barrel, hitting US shale producers and energy jobs, while deflation pressures emerge.
  • S&P 500 Downside: 10-15% (energy sector drag offsets consumer gains).
    • Key Losers: Energy (e.g., Chevron); financials (loan defaults).
    • Key Gainers: Consumer discretionary (cheaper gas boosts spending); airlines (lower fuel costs).
  • Recession Probability: 40% (energy sector collapse could ripple regionally).
  • FED/Government Response: FED cuts rates to spur demand. Government might aid energy firms.

15. North Korea Nuclear Escalation

  • Likelihood: 15%
  • Unfolding: A nuclear test or missile launch over allies like Japan could spike defense spending, disrupt Asian markets, and trigger capital flight to safe havens.
  • S&P 500 Downside: 8-12% (short-term panic, less systemic than others).
    • Key Losers: Consumer discretionary (confidence drop); tech (Asian supply chain fears).
    • Key Gainers: Defense (e.g., Northrop Grumman); gold miners (safe-haven demand).
  • Recession Probability: 35% (limited direct economic impact unless war ensues).
  • FED/Government Response: FED holds steady unless markets tank. Government boosts military presence and sanctions.

16. Collapse of US Dollar Hegemony (e.g., BRICS Currency Push)

  • Likelihood: 15%
  • Unfolding: BRICS nations accelerate de-dollarization, reducing demand for US Treasuries. Borrowing costs rise, dollar weakens, inflation spikes.
  • GDP Impact: -1.8% (higher interest rates, import costs).
  • S&P 500 Downside: -18% (bond yields spike, equity valuations drop).
    • Losers: Financials (XLF) due to higher borrowing costs.
    • Gainers: Gold miners (e.g., Newmont) as safe-haven demand rises.
  • Recession Probability: 50% (financial instability undermines growth).
  • FED/Government Response: FED raises rates to defend dollar (~5%), government negotiates trade deals to bolster dollar use.

Notes on Methodology and Assumptions

  • Probabilities: Derived from current geopolitical tensions, expert analyses, and historical frequency of similar events, adjusted for 2025 context (e.g., Trump policies, ongoing conflicts).
  • GDP Impact: Estimated based on historical economic effects of similar shocks, scaled to current US GDP (~$28 trillion in 2025 projections).
  • S&P 500 Downside: Reflects market reactions to past geopolitical crises, adjusted for sector exposure and investor sentiment in 2025.
  • Sector Impacts: Losers tied to cost increases or confidence drops; gainers linked to safe havens or direct beneficiaries (e.g., defense, energy).
  • Recession Probability: Assumes a recession threshold of two quarters of negative GDP growth, factoring in US economic resilience and policy responses. Higher for systemic risks (e.g., cyberattacks, Taiwan) due to broader economic disruption potential; lower for regional risks (e.g., India-Pakistan).
  • FED/Government Response: Based on historical FED actions (e.g., rate cuts during 2008, hikes during 1970s inflation) and plausible government interventions.
This analysis assumes no overlapping risks unless specified, though real-world scenarios could compound effects, increasing downside risks significantly. Critical examination of optimistic forecasts (e.g., “soft landing” assumptions) suggests fragility to external shocks, particularly in a high-debt, high-valuation environment. The US economy’s resilience (e.g., 3.1% GDP growth in 2023 despite rate hikes) suggests some buffer, but prolonged or severe shocks could overwhelm it. Probabilities, GDP impacts, S&P 500 downside, and recession probabilities are informed estimates grounded in historical precedents, economic theory, and recent forecasts, but they remain speculative due to the unpredictable nature of geopolitics.

What Global Slowdown?

Global Slowdown?

What Global Slowdown?
We can’t see it.
Maybe we are blind.

Total world economic activity as measured from the average of world trade volumes and industrial production, saw a soft landing but is clearly on an upward trajectory:
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World trade volumes (average of imports and exports) in particular are showing strong growth, emerging convincingly from its recent trough:

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The % of OECD countries with a positive rolling four-quarter cumulative GDP is back up to 75% having posted its 3rd consecutive upward print. 2Q-2022 was clearly a soft landing for real-quarterly GDP growth, but since then its back to long-term trend (dashed line):

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The Global LEI is rising, most notably the far-forward looking net percentage of OECD countries with rising LEI’s and the net percentage of central banks easing rates:
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The evidence, both coincident and leading, does not point to a global slowdown. At least not yet.

New Optimum Market timing Page

All the OPTIMUM brand of SP-500 market timing models have been moved under a new page and menu item at https://recessionalert.com/pro-optimum/

These models span various time horizons and have explicit entry/exit rules used in their back testing that can easily be replicated by subscribers into the future.  They are defined as Macro models that work across bull and bear markets and bull-market models that are designed and optimized to perform during bull markets only. One of the requirements of OPTIMUM models is they all have standardized performance tables starting from March 2009 (longer for the macro models) that allows you to compare their respective characteristics and risks. More specifically these include total trades, winners, losers, winning %, losing %, points gained on winners, points lost on losers, net points gained (points gained less points lost), reward/risk ratios (points gained divided by points lost), average winning trade size, average losing trade size and total cumulative returns (TRI). The models are briefly described below, but their respective tabs in the OPTIMUM menu will have further detail of their mechanics, and daily updates to more recent trade depictions on a SP500 chart and detailed performance statistics.

It is important to note that most of these models will struggle to outperform a buy and hold strategy during a bull market. This of course assumes the buy & hold investor has perfect hindsight in calling the ultimate top of the market. Most of these models’ trade returns in favour of lower risk of getting caught in the big bear market. The aim is thus not to beat buy & hold but to have frequent favourable entry points offered into the market with a high confidence of a successful outcome and highly respectable cumulative returns whilst protecting against downside risk. In other words, favourable risk adjusted returns. In most cases these models have far less volatile returns and lower drawdown profiles whilst paying a small price in loss of buy & hold returns.

1. OPTIMUM-1 : A long-term low frequency (7 trades since 2009 and 13 trades since 1982) macro-model that aims to capture & avoid as much of the entire extents of bull and bear markets respectively. These bull and bear markets typically are aligned with the economic cycle. This model has such timely accurate signalling of new bull markets that it earns itself a place as one of the seven models in the MEGA tab in the DASHBOARD. Whilst this model has an exemplary long-term macro record, it will under-perform buy-and-hold and the other models in a bull market. Its long term history is depicted below:

2. OPTIMUM-2 : A low frequency bull market model (10 trades since 2009) optimized for long-trade net winning points gained. Although it has a similar frequency since 2009 to OPTIMUM-1 this model will outperform OPTIMUM-1 in a bull market since it is not stunted with assumptions that need to be made to protect it from bear markets.

3. OPTIMUM-3 : A low-to-medium frequency bull market model (14 trades since 2009) optimized for long-trade win rate %.

4. OPTIMUM-4 : A medium frequency bull market model (18 trades since 2009) optimized for long trade total accumulated returns (TRI).

5. OPTIMUM-5 : A high frequency bull market model (31 trades since 2009) optimized for highest trade frequency with acceptable long-trade performance statistics.

6. OPTIMUM-CMHI : A long-term medium-frequency macro model (21 trades since 2009) built on the back of the CMHI (Composite Market Health Index) engine which has been around for some time now. Whilst its objectives are similar to OPTIMUM-1 it does feature some exceptional intra bull/bear moves to improve alpha which allows it to perform well in bull and bear markets alike. Its performance since 2009 is depicted below showing a virtually non-existent drawdown profile:

7. STM The standard Seasonality Timing Model (STM) that has been around for many years now and continues to appear in the STM tab in MONTHLY CHARTS but with some enhanced charts and detailed performance statistics. A PRO version that offers significantly enhanced performance joins the OPTIMUM models with some enhanced dashboards and daily updated charts to track trade progress. Whilst both these models have long term bull and bear market history guiding its decisions, its best performance is during bull markets and thus we have classified it as a high-frequency (36 trades since 2009) semi-bull market model. Both STM models have had some stunning out-of-sample performance statistics since 2009 for both longs (91% winning rate), cash holding periods and shorts as depicted below:

8. OPTIMUM-D1: One of the more novel ways to deploy these models is through a diffusion (hence the D), which counts how many of a selected group of models are long and subtracts how many of them are short. In other words, a NET LONG COUNT. This is possible as each of these models’ designs are predicated on differing performance characteristics. This can be used to scale in and out the market to adjust for risk. The reasoning is that by the time the big bear arrives you will be all-out and so the diffusion can be classified as a macro model. One implementation of the  diffusion that deploys all 7 discreet models includes the STM PRO seasonality model and does not duplicate with inclusion of the standard STM model. Additionally, when STM PRO is 2x leveraged in very bullish periods, it has the effect of adding two to the diffusion count instead of 1 used for a standard STM long position. Thus the diffusion (D) can range from -7 to +8 and is displayed below:

The OPT-D model goes long when DIFFN > 3 (long trigger), goes short when DIFFN <-5 (short trigger), stays in cash when DIFFN between -5 and +3 and goes 2x leverage when DIFFN > 7 (ie when the STM PRO model is leveraged long.) It produced the statistics shown below:

9. OPTIMUM-D2: Another favourite interpretation among users is the same as above but to exclude OPTIMUM-1 from the diffusion and only use 6 models. This can significantly jack up the returns as well as increase the frequency of trades which provides more opportunity for those more active in the market, since the model is less encumbered with the caution with which OPTIMUM-1 deploys to stay out of big bear markets. The DIFFN (D2) count appears below:

The OPT-D2 model goes long when DIFFN > 4 (long trigger), goes short when DIFFN <-5 (short trigger), stays in cash when DIFFN between -5 and +4 and goes 2x leverage when DIFFN > 6 (ie when the STM PRO model is leveraged long.) It produced the statistics shown below:


10. OPTIMUM ANALYZER :The OPTIMUM Suite of market timing models now have their own historical data file and companion diffusion model-builder that allows you to configure your preferred combination of 8 OPTIMUM models into a single combined diffusion model with configurable “go long”, “go 2X long”, “go cash” and “go short” diffusion thresholds. You can inspect your models’ performance via detailed trade statistics tables and charts depicting SP500, Diffusion, position taken together with returns and drawdowns profiles. Five top-performing pre-selected combinations are also available for you to use (two of which we discussed in the prior paragraph) The file will be updated monthly and is available in the PRO>DOWNLOADS page. A sample of the instructions taken from the sheet appear below:

Again the idea is not to get the best performing model. If you wanted to do that, just stick with the STM PRO seasonality model. But if you wanted to reduce your risk of relying on a single model that may stop working for a while then its best to go for a multi-model approach through the diffusion to minimise MODEL RISK. You land up with a more diversified strategy that provides you with a signal that allows you to scale risk in and out according to market risks whilst still significantly out-performing the buy and hold investor that has perfect hindsight.

11. ALERTING : Any change in the trade status of any of the OPTIMUM models will result in an ALERT being posted in to the PRO ALERTS tab as well as email alerts. In some instances the alerts will be a day in advance if the rules of the algorithm allow it, or if the rules look like they may trigger in the very near future. Many of the OPTIMUM models also feature end-of-day stops that are projected a day in advance so you can intercept a trade action in a timely manner without relying on  alerts.

Upcoming FED rate cuts? Not so fast!

The official data the National Bureau of Economic Research (the arbiters of U.S recession declarations, also known as NBER) are looking at to determine the coincident (current) status of the U.S economy, shows the economy may be slowing, but its not down or even OUT yet:

It is hard to imagine the FED are not taking guidance from this either when pondering rate cuts.

Looking at the the month-on-month growth index that the headline index is created from with a six-month average, one could even conclude that things may be starting to look like they are even picking up:

Even a component dissection does not look half bad:

There is no doubt the U.S economy is vulnerable to external shock (with no buffers) when its six-month averaged growth index (black line, first chart above) languishes at the borderline between expansion and contraction.

And despite last weeks mediocre jobs report, and rise in unemployment rate that even triggered the Sahm recession indicator, this mediocrity is yet to show up in the non-farm payrolls and household survey employment data being looked at in this NBER BIG SIX coincident indicator. Not even a blip.

There is no doubt the NBER model is being aided by Non-farm payrolls and Household Survey Employment data that stubbornly refuse to concur with the rising unemployment rate. But lets be honest here, these employment indicators are laggards for the best part. In fact, examining a set of cyclically sensitive leading labor market indicators, we are led to believe that the unemployment rate is set to continue rising in the near future, albeit at a slower pace:

The unemployment rate has been a very reliable real-time indicator of recession through dozens of the last business cycles and even the popular SAHM-Rule and its SCHANNEPP derivative have finally concurred with the 52-state and 400-metro derivatives (as discussed in our research note) and triggered a recession alert:

The unemployment rate has been a very reliable real-time indicator of recession through dozens of the last business cycles and even the popular SAHM-Rule and its SCHANNEPP derivative have finally concurred with the 52-state and 400-metro derivatives (as discussed in our research note) and triggered a recession alert:

Our research has shown that if we were to add the unemployment rate as another reliable coincident employment indicator to the NBER model, it would now be in recession territory. The reason the payrolls data and the household survey used in the NBER model are not weakening in sympathy with the rising unemployment rate are not clear, but at this point, historic levels of immigration are being cited. Whilst this may explain things on a national level, its hard to believe that immigration is so widespread that it has resulted in unemployment rates in a wide swathe of US states and even metros to explode higher.

So if we are just looking at the officially accepted coincident monthly data, and ignore leading data, unemployment rate and geopolitical risks – its hard to see why the FED would be compelled to panic into a rate cut cycle right now.

Regardless of the rising unemployment rate at national, state and metro levels, and the leading employment data that hints at continued rising of the unemployment rate, when looking purely at the data the NBER are looking at, which is what the NBER model was designed for, we can conclude that the best way to describe the current coincident measure of the economy from the NBER (and perhaps even the FED) viewpoint is therefore: “VULNERABLE, but NO RECESSION IMMINENT YET.”

SUMMARY:
Are we taking the upcoming rates cuts expectations and prediction markets too seriously since the coincident data doesnt look that bad? Will record levels of immigration eventually be able to explain away the divergence between the unemployment rate and other coincident economic indicators? Or perhaps we are erroneously ignoring or downplaying the rise in the unemployment rate?

Regarding rate cuts, we should be careful what we wish for, since the first rate cut in a hiking cycle is a better and more timely recession indicator than the yield curve. Just something to ponder about.

Complacency about personal finances, stock-market & economy has bottomed.

Composites created from U.S geography limited internet searches for 8 search-terms we have found most aligned to uncertainty and fear regarding personal finances, the stock market and the economy have bottomed and appear to be on the rise:

Both the equal-weighted composite and our preferred measure, the “search-volume weighted” composite bottomed in January 2024. This latter measure weighs each search term by the actual number of searches measured for the month as opposed to using the “relative to its history” standard measure such as that provided by Google Trends.

The utility of these measures is amplified once they exceed a threshold of 30 since this is normally a warning of economic recession and increased market volatility and draw downs.

You can see this chart updated every month in the MONTHLY CHARTS menu, in the GOOGLE tab.

A leading indicator for U.S stocks

The most powerful leading indicators we have found for U.S stocks over the medium-term horizon are the net percentage of 39 OECD countries with rising leading economic indices (LEI’s) and the net percentage of 39 central banks that are easing rates.

They achieve maximum correlation with the NYSE annual percentage change with 7 and 10 months lead respectively.

If we aggregate these two, we derive a leading indicator for U.S stocks, with a 0.57 r-square to NYSE (pretty darn good as these things go) which at this moment is showing a ongoing massive tailwind for stocks since March 2023, just over a year ago.

You can find these indicators at the bottom of the Global Economic Report that is published each month, as well as in the CRB tab in Monthly charts.

The premise then, is that any dips you see now are supposed to be a buying opportunity.

Its incredible that we have to look at metrics outside the U.S to derive future direction for domestic stock markets. It shows that the U.S markets (and indeed the economy) are not an island.

What if we adjusted U.S GDP to account for record “war-time” budget deficits?

NOTE : this is a very simplistic thought experiment, as determining recessions are usually much more multidimensional , nuanced affairs. Its also debatable whether deficits do indeed artificially prop up the economy or not, or even if they are bad or not. There are also potential multiplier effects with budget deficits that are not taken into account with this simple thought experiment.

The current federal budget deficit as % of GDP is at “war-time levels” last seen in WW2

The theory going around is that this is propping up the economy artificially and repealing the business cycle. As a fun exercise to satisfy curiosity let’s try adjust for this. The chart below “removes” the actual dollar budget deficit from real GDP :

As expected, GDP would be worse off without these deficits. But would it be worse off enough to tip us into recession?

The chart below shows both real GDP (red) and the adjusted GDP (blue) on a quarter-on-quarter basis:

There are 3 additional negative GDP prints introduced on top of the 1Q2022 negative print witnessed for both GDP versions, namely 1Q2021, 3Q2022 and 1Q2023.

These are not the “2-consecutive negative quarter” syndrome that is normally associated with recession. But bear in mind a string of 3 negative quarterly prints, sequential or not – has always occurred whilst in recession.

So maybe we would be in recession without the record deficits!

NOTE : this is a very simplistic thought experiment, as determining recessions are usually much more multidimensional , nuanced affairs. Its also debatable whether deficits do indeed artificially prop up the economy or not, or even if they are bad or not. There are also potential multiplier effects on the economy with budget deficits that are not taken into account with this simple thought experiment.

Understanding SP500 Gen2 Persistent Current Trend (PCT) probability model

Background

The Gen2 probability model we maintain for PRO subscribers for the SP500 provides for short, medium, long-term and macro-term probabilities of market troughs/peaks.

It does this by examining current up/down trends across the 4 time-horizons mentioned and compares them to a 30-year historical record of said trends with regards to both duration of trend and gains/losses achieved for the trends. By comparing the duration and gain/loss of the current up/down trend with the historical record, we can impute two probabilities, namely:

  1. The probability that the current trend will endure longer and
  2. The probability that the current trend will gain/lose more.

To assess an appropriate probability of a trend reversal for the current trend we find ourselves in, we merely create and average of the two above probabilities. This provides us with a likelihood assessment of a trend-reversal taking place when considering the long-term historical record of past trends with regards to both duration and gains/losses of said trends.

To categorize historical trends into short, medium, long-term and macro buckets we need an algorithm for trend classification across these multiple time-horizons. The algorithm used by the Gen2 probability model considers intraday highs and lows on the daily SP500 candles to determine true tough-to-peak gains or peak-to-trough losses of trends and works simply as follows, which is an alternate spin on the popular “Zig-Zag” technical indicator:

  1. If we are in a down-trend and there is a higher low within x-days ahead than yesterday’s low, then change to an up-trend.
  2. If we are in an up-trend and there is a lower high within x-days ahead than yesterday’s high, then change to a down-trend.

The values of x used for our model for our various trend time-horizons were determined through optimization research  based on what appeared to work best in general in representing the targeted trends for the nearly three decade historical period, and are currently as follows:

  1. Short-term trends : 7 days (market sessions) for 211 entries for the historical database
  2. Medium-term trends : 17 days for 89 entries for the database
  3. Long-term trends : 34 sessions for 45 database entries
  4. Macro-term trends : 72 sessions for 24 database entries.

The charts below depict the gains/losses (intensity) and durations for the short and medium-term trends respectively as of Wednesday, 24th January 2024. We note that if we view the current trend we are on as a medium-term up-trend, it has gained 19.49% versus a 11.2% historical average, which is one standard deviation above the mean. It is not shown on the chart, but this transcribes into a 22% probability the trend will continue, or conversely, a 78% probability the trend will reverse based on the gains. We also note that if we view the current trend we are on as a medium-term up-trend, it has lasted 59 sessions versus a 35-session historical average, which is 0.7 standard deviation above the mean. It is not shown on the chart, but this transcribes into a 26% probability the trend will continue, or conversely, a 74% probability the trend will reverse based on the duration.

The useful thing with these ACTUALS charts is if a trend has continued for some time, such as the deemed medium-term trend in the lower two charts above, we can draw a horizontal orange line showing the current gains/losses or duration so we can visually see how often in the past, and when these levels we are currently witnessing have been exceeded. These visual cues sometime are easier to digest and provide more dimensions (when and how many times) when assessing likelihood of reversal than a single dimension probability percentage derived from nonlinear math equations.

Below is the same chart depicting the deemed long-term trends. These translate into probabilities of a trend reversal of  53% according to the current gains and 47% according to the current duration.

Finally, here are the deemed macro-term trends:

Introducing PCT

The selection of x in trend-determination along short, medium and long-term horizons, apart from our optimization research, is fairly arbitrary. It’s never perfect and is designed to capture intended trends for most of the time. But for a short-term up-trend using x=7 that suddenly comes to an end on a given day, what if using x=8 does NOT reverse the trend on the given day and the market pushes a new high after another 8 days? Is x=8 a better value to use than x=7? We can keep on with this argument until x gets sufficiently long enough to eliminate such choices but by then x will be too large to be useful as a “short term” trend latcher. In fact, it is perfectly reasonable that for the prior up-trend, x=7 was best in terms of timeliness but for this current up-trend, x=8 will be better for accuracy.

Let us examine a very recent example of this. On 29th December 2023 we were in an up-trend, and the high for the previous day, the 28th December, was 4,793.3. The high for the 7-day look-ahead was only 4,790.8, below the  high of the 28th, so the algorithm marked 29th December as a reversal day, the first day of a new short-term down-trend. On 08 Jan 2024 the low for the 7-day look-ahead (4,714.8 on 17 Jan 2024) was higher than the low of the previous day (4,682.1 on 05 Jan), and thus we had another reversal day and a new short-term up-trend ensued:

On the surface, this looks entirely reasonable and appropriately captures a definition of short-term trends. We see that on the downtrend reversal day of 29 Dec, the probability of a short-term top on the previous day, the up-trend peak, was sitting at 91.4% an entirely appropriate warning of the impending short-term top.

Persistent Current Trend (PCT) attempts to avoid a reversal day by expanding the look-ahead value x by the minimum amount to preserve the current trend. It is a tacit admission from the algorithm that “Hey, this might not actually be a short-term reversal, and since x=7 is a generalized one-size-fits-all parameter, we can provide traders a more comprehensive review of the short-term risks by ignoring the reversal, but we’re going to have to find the smallest, larger value of x that will allow us to do this.” In this particular instance, we were fortunate to only have to increase x to 8 to maintain the current up-trend on 29th December, since the witnessed high 8 days into the future from the 29th was 4,798.5 on 11 Jan – higher than the 4,793.3 witnessed on 28th December:

So we are now giving the observer an alternate potential short-term reality – that the current short-term up-trend is ongoing. Note how for x=8, the probability of a market peak on 28th December was 89% as opposed to 91.4% witnessed with the x=7 trend algorithm. Also the PCT model is now flagging a probability of a market top on 24th January as 95% as opposed to the 41% from the x=7 trend algorithm which is now on the assessment that we are in a new, young short-term uptrend.

The chart sets we provide subscribers will include the PCT algorithm assumptions in addition to the standard assumptions, and they are available in the PCT tab in PRO>SP500 Charts . Both the probabilities of the duration and gains/losses are provided in the first two PCT charts, whilst the actual durations and gains/losses are provided in the bottom two PCT charts. Numbers in brackets represent readings for the prior day so we can assess how much the probabilities change from day-to-day:

Using the above example, we look at the top chart and take the PCT rally duration top-probability of 96% and average it with the PCT rally gains top-probability of 95% to derive a two-dimensional average market top probability of 95.5%

At this juncture the PCT algorithm is providing the investor/trader the opportunity to assess multiple potential short-term realities. Looking at the examples we provided above, in hindsight, it appears as if x=8 is indeed providing a more realistic and likely interpretation of the current short-term trend environment than x=7. We do not however use this as a reason to go and modify x to 8 permanently, since traders make heavy use of the short-term algorithm for market-timing and trend-following purposes, and we want the smallest value for x as possible that provides the most accurate generalized long-term results in order to preserve timeliness.

In this particular example shown, x only had to be increased from 7 to 8 to preserve the short-term uptrend, but you should note that on many occasions, x has to increase by quite large numbers to retain the persistent current trend assumption. In many cases x will jump into the mid to high teens to preserve a current short-term trend which means the PCT trend is no longer a viable short-term alternate reality assumption. In fact, large jumps triggered in PCT’s x-variable merely cement that the current x=7 short-term trend is most likely the actual, true short-term trend reality. At that stage, PCT is no longer suited to alternate reality assumptions on the short-term horizon but starts providing alternate realities for the medium-term trends. Thus, once PCT is in the teens it starts looking to reversals in the medium-term trends (x=17) to take its cues for finding alternate realities – this time on the medium-term timeframe.

Pre-empting the look-ahead with ST-ALGO

We provide a specialized market timing chart  in the ST-ALGO tab in PRO>SP500 Charts that allows short-term trend followers and market-timers to pre-empt x=7 short-term trends without having to wait for the full 7-days look-ahead to pass. Not only is it around 80% accurate in forecasting what the full look-ahead algorithm will provide as trends, but it does it with a 2-3 day lag as opposed to 7-day lag. Additionally, it also allows us to assess the risks of a future short-term x=7 trend reversal together with target levels for the SP500 that are most likely to trigger said reversals.

ST-ALGO is the process whereby we try make determinations of SP500 short-term trend reversals (directional changes) within the 7-day look-ahead process which the probability model uses for determining non-revisable short-term trends which get finalized, frozen and catalogued into the short-term trend historical database for use in determining current and future short-term trend reversal probabilities used in all the other Gen2 charts. The advantage is we dont have to wait for the full 7 market sessions to transpire to determine what the trend is after it changes.

The new ST-ALGO provides over 80-90% confidence of early trend reversal recognition within the estimation zone. This means trend estimations are made within the estimation zone that have only 20% to 10% probability of eventually turning out wrong and being overwritten by the trend detection algorithm using the full 7-day look-ahead.

The lag this algorithm provides to the actual finalized locked-in non-revisable turning (pivot) points is non-deterministic but ranges from 2 to 4 days, averaging about 3 days. This is still far more desirable than waiting the full 7 days for non-revisable trend lock, which is obviously useless from a market timing perspective. ST-ALGO as before, still determines turning points by the provision of a daily changing high/low STOP that must be breached in order to trigger the trend reversal, but this time it is not some one-size fits all 2.6% number but rather a dynamic number that
1. Takes into account recent support/resistance points,
2. That is till close (small) enough to make timely recognition of turning points and
3. Is still further (larger) enough to have statistically-derived high confidence levels of being accurate (not overwritten by the final full-lookahead algorithm)

The new ST-ALGO chart now also incorporates at least ONE intraday chart update and has been revised as follows with additional on-chart cues, timestamp and more descriptive summary text with citing of confidence levels associated with the chosen stop:

You will see from the above chart that it has already made a trend reversal estimation two days after the 05 Aug intraday lows (a best-case example) and made an accurate downtrend estimation for the previous downtrend within 3 days of the last SP500 all-time high (ATH). It did not make an incorrect uptrend estimation in the 25 July to 01 Aug bull-trap since this rally failed to make highs that set new resistance levels chosen by ST-ALGO.

If the SP500 should print an intraday low below the provided stop, the confidence level of 79.5% means that the historical database of non-revisable short-term uptrends catalogued by the Gen2 algorithm has shown short-term uptrends exceeding a high-low drawdown of 3.21% has only occurred 20.5% of the time, or 42 times in 212 instances in 25 years since 1999.

You should also note that the trend-estimation latch-freeze has been halved more recently from 2 to 1 days. Besides this, the latch is just an extra precaution for the wary timer and you may elect to act on trend changes on latch day, since statistical confidence levels provided ignore any latching holds. It is just that the research team has noted on many occasions that the latch-freeze gets you in at a better price even though it is an extra one-day lag. At this stage we are still debating dropping the latch condition in its entirety to get better timeliness, but for now the algorithm on the chart display will be observing the latch freeze. You may elect to front-run the algorithm therefore by ignoring the latch-freeze.

Update on US & Global Economy

Despite all the traditional leading indicators warning of recession for some time now, the US economy seems “robust” with unemployment stubbornly making new lows.

We touched on the suspected reasons for this in our public note “The Delayed Recession” which offers the most plausible reasoning for this. However, if we dig a little deeper under the hood, the goldilocks situation may be coming to an end.

1. The Global Economy

The U.S economy is no island, with a substantial portion of earnings of stocks in the SP500 coming from abroad. It makes sense then to keep an eagle-eye on the global economy. One of our favored methods to do this, taken from our comprehensive monthly Global Economic Report, is the percentage of countries posting positive annual real-GDP growth:

From the above chart, we can conclude that it’s highly likely the global economy is currently in contraction.

Another way to look at this is to examine global economic activity as the aggregate of imports and exports (total trade volumes):


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We observe that trade volume peaked exactly one year ago and has been on a steady decline since.

2. The Local Economy

The U.S Labor market has been the “last man standing” among the indicators used to warn of U.S recession, with national unemployment figures stubbornly low and even declining. However, unemployment has ticked up 0.5% from its lows, right on the threshold normally used to trigger a recession warning:

Despite its popularity to measure the labor market, unemployment is largely a coincidentt-to-occasionally-lagging indicator. One of the ways to overcome this is to examine the unemployment rate individually in all 50 U.S states. We have four measures to implement this and NONE of them look promising for the near future of the national unemployment rate:

The reason these unemployment “breadth” metrics work so well is that the US labor market is characterized by large concentrations of labor pools in a few economically powerful & populous states. Since every state counts as a full vote no matter how large or small in these metrics, those larger-in-number, smaller states that are more economically sensitive (or less economically robust) start throwing out early warnings when the economy becomes iffy – something that is masked by the national unemployment aggregate.

Another method to assess the state of the labor market is to focus on cyclically sensitive components of the labor market – those items that are known to have outsized reactions/sensitivity to weaker economic conditions. The traditional candidates of several manufacturing employment metrics such as weekly and overtime hours, hires and job openings together with national part-time employment, initial claims & temporary help services come to mind. As part of our comprehensive US Labor report we combine these together into a single composite as depicted below:

It is interesting to note that this leading indicator has been in contraction territory for 14 months now – identical to the warning it gave before the “Covid Recession” in 2020. Using the average lead times to US Recession and their standard deviations (albeit on a small sample) this suggests a Recession started between May and Sept 2023.

There is a meaningful correlation between the leading index and the unemployment rate. But rather than judging it by eye from the chart we have constructed a probability model that looks at the leading index and the co-movement of its sub-components, to assess the likelihood of a sustained rise in unemployment:

Interesting times indeed with all-eyes on the next set of BLS labor data…


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The Delayed Recession

The U.S. Bureau of Labor Statistics announced a short while back that US national unemployment rate was 3.8% in August and September, versus the lows of 3.4% witnessed in both January and April 2023. On the surface, the employment situation looks healthy. Against the backdrop of virtually every leading indicator warning of recession (for quite some time now we must add), employment appears to be “the last man standing”:

The national unemployment rate in the United States is skewed by a few large, populous states with robust economies, which is why we are already in recession by the time these states roll-over and we witness national unemployment aggregates suddenly rise. One of the ways to avoid this and get a better “under the hood” view of unemployment is to inspect all 50 U.S state unemployment data. With many more less populous states with more vulnerable (or cyclically sensitive) economies now with equal weightings, we usually witness employment weakness a lot earlier in the cycle as depicted below:

The chart above shows that whilst the simple average of all the individual states’ unemployment rates continues to plumb to new lows, the percentage of US states with increasing month-on-month unemployment has risen for a fifth month in a row and now sits at 50% (some 25 states.) Whilst we only show data since 2005, this metric has been very effective since the 1970’s to get a much earlier heads-up of impending problems in the labor market and hence the economy which is 60% reliant on consumer spending.

With national unemployment averages being coincident at best, lagging at worst, another approach is to look at cyclically sensitive labor components that traditionally deteriorate up to eight months before the labor market national averages. Things that come to mind are tried-and-tested stalwarts such as manufacturing employment (hires, weekly hours & weekly overtime hours), job openings, quits, part-time employment, initial claims, permanent job losses and temporary help services.

 

Our Cyclical US Labor Market Composite (US-CSLMI) we publish at the beginning of each month for subscribers combines these all together and is shown below, where we can see it is clearly warning of a rise in unemployment for 13 months now – roughly the length of time of the warnings it gave in the 2020 Covid “flash” recession, the 2008 Global Financial Crises,  and the 1990’s Gulf War recession.

👉We also see from the above chart that unemployment only needs to exceed 3.9% for its rise from the 3.4% lows to peek above the 0.5% red dotted line threshold which has historically always signaled the start or that we are already in recession. Something else we note from the movement of our Leading Labor Market Index is that it has a median lead-time to recession of 9 months, with a 4 month standard deviation. Given that it has already been camped “below water” in recession territory for 13 months, we can deduce a guestimate start date for recession between May 2023 and September 2023.


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We have three methods to deduce the probability that we are about to witness a rise in unemployment exceeding 0.5% (and hence a recession).

The first method examines the long-term historical movement of the Leading Labor Index in the lead up to prior recessions and compares that to the current movement. This is called a imputed statistical probability model and appears below:

The second method examines the percentage of eight components that constitute the Leading Labor Market Index that are themselves in recession territory. This is commonly called a Diffusion and is shown below:

The third method is to merely combine the first two methods into an arithmetic average – providing an imputed (we like to call it an “assessed”) probability that is taking both the movement of the composite indicator and its underlying components into consideration:

At this time, due to every conceivable leading indicator with long-term track records warning of a U.S recession, we are making the case for a recessionary-induced bear market in US stocks. This is aptly shown in the DASHBOARD>RFD tab (see research note):

The question that requires answering, is if the 13th October 2022 lows, where the SP500 contracted 27% peak-to-trough over 195 sessions since 4 January 2022, constituted those lows. The table below, available in the DASHBOARD>NEWBULL tab, tracks the common historical signposts of recessionary-induced bear-market bottoms (troughs) in US stocks. For now, we assume the October 2022 stock market lows are a candidate for a recessionary-induced bear market trough:

We see that a small percentage (28.6%) of the traditional pre-trough signposts, which are heavily weighted to macro-economic data, occurred, whilst a much larger percentage (up to 66%) of the traditional post-trough signposts, mostly technical analysis related, occurred.


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Explaining a delayed recession.

Below is a summary available from the bottom of the DASHBOARD>NBER PROBS tab, which examines 7 of our mainstream leading macro-economic models in relation to their historical mean lead-times to recessions, +/- one standard deviation of these means and the longest witnessed lead and their imputed target dates for U.S recession derived from how long the models have already been in recession territory. On aggregate they suggest a mean of March 2023, with a +1 standard deviation to September 2023 and a worst case Jan 2024. While these suggest a longer than expected lead-time in the appearance of the current expected recession (which has yet to be declared by NBER by the way) they are by no means a statistical anomaly.

Nonetheless, it would be fair to say that this recession is taking longer than usual to manifest in relation to that suggested by the leading economic data.

One theory that explains the absence of traditional recessionary pre-trough macroeconomic signposts, and the robustness of labor data in the face of overwhelmingly bearish leading macro data, hints at extreme excesses (or buffers) built up in the economy through:

  1. Massive post-Covid stimulus
  2. Lockdown-induced consumer spending pullbacks (or savings)
  3. Unprecedented near-zero interest rate environment.

Pandemic-related fiscal support resulted in a sizable increase in disposable income in the overall U.S. economy at a time when health-related economic closures and social distancing led to a significant drop in household spending. As a result, aggregate personal savings rose to $2.1 trillion – far beyond its pre-pandemic trend and much higher than in previous recessions, with Americans currently having nearly $190 billion in excess savings built-up during the pandemic still available. Despite recent large drawdowns of those funds, estimates suggest a substantial stock of excess savings remains in the aggregate economy to prop up spending and hiring to 4th quarter 2023.

As the theory goes, this massive “buffer” has to be whittled away through the current inflationary and monetary policy tightening period before being depleted enough to finally usher in a recession. It explains why this recession is taking so much longer to manifest in employment data after all the long-leading data turned bearish. Excess savings are being spent, which keeps consumer spending (60% of US economy) robust. This naturally leads to continued company profits and continued robust hiring and employment data. But once these excess savings become depleted, spending dries up, profits drop, hiring slows and employment eventually will contract.

This dynamic in excess savings associated with the pandemic period is remarkably unlike any past recessions. The chart below plots the monthly accumulation of excess savings since the onset of past recessions. Data on household assets and checking account balances support the view that households across the income distribution generally have considerably more liquid funds at their disposal compared with the pre-pandemic period:

 

If this theory plays out as suggested, namely excess savings depleted, then less consumer spending (60% of economy), then less corporate profits, then less hiring – then a recession has been merely delayed but is inevitable and the traditional pre-trough signposts will ultimately start to manifest as a result. This is likely to put pressure on the stock market and could potentially introduce even lower lows than the ones witnessed in October 2022.

There are several methodologies that attempt to capture the extent of Excess savings, its depletion rate and how much is left, with the latter ranging from $190Bn to $500Bn, so one cannot expect an exact science to inform us when it will be depleted or when the economy will slow as a result. All we can assume is that it explains the delayed recession and eventually it will be depleted and the repeal of the business cycle may come to an end. Until then our Cyclically Sensitive Labor Market Index is probably the most important report to watch each month.


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Our economic research and stock market models are trusted by top Global & US Investment Firms:

 

Relationship between stocks & FED balance sheet

The chart below shows the size of securities held outright by the US Federal Reserve versus Wilshire Total market index as stock market proxy. We see the various quantitative easing programs that propelled the stock market higher including the massive Covid19 liquidity injection that set stocks on a never-before-seen trajectory

On the surface it appears that when the size of the FED balance sheet is flat or shrinking (tapering) stock returns are either muted/volatile or negative. Similarly when the balance sheet is expanding, stocks inflate in tandem.

Few appreciate the conventional “Don’t fight the FED”  anecdote and the correlation between the size of the FED balance sheet and levels of the stock market. Putting the above two data sets into a regression analysis makes things a little clearer:

We could posit than the size of the FED balance sheet explains over 80% of the levels of the stock market.

What is interesting to note however, is that on both occasions when stocks diverged significantly from values implied by size of the FED balance sheet, stocks went into major bear markets shortly thereafter.

Stocks are still tightly correlated with the size of the FED balance sheet (right hand data points on the regression chart). It is suspected that as the FED begins to taper and stocks continue to climb, we will see another big regression divergence warning of another major market top.

High-Frequency U.S. Economic Data Shows 3-Speed Recovery

Since the onset of Covid-19, there has been a lot of research (and release) of alternative (non traditional) high-frequency data to measure the extent of the economic collapse brought on by coronavirus lockdowns, as well as to measure the post-lockdown economic recovery.

Think of Google (NASDAQ:GOOG) (NASDAQ:GOOGL), Apple (NASDAQ:AAPL) and SafeGraph geolocation data to track movement of people around workplaces and residential places, foot and transit traffic data, hotel occupancy, movie ticket sales (BoxOfficeMojo), TSA traveler throughput, seated diners (OpenTable) and so forth.

We have assembled a collection of such data into a Weekly Post-Covid Economic Recovery Tracker (WPCERT) consisting of the following:

  1. Consumer Spending = Change in average consumer credit & debit card spending, seasonally adjusted, indexed to Jan 4-31. Source = Affinity Solutions.
  2. Small-business revenues = Change in net business revenue for small businesses, seasonally adjusted, indexed to Jan 4-31. Source = Womply.
  3. Changes in small-business open (defined as having financial transaction activity), seasonally adjusted, indexed to Jan 4-31. Source = Womply.
  4. Job Postings = Change in unique weekly job postings, indexed to Jan 4-31. Source = Burning Glass Technologies.
  5. Low-income employment = Change in employment rates, indexed to Jan 4-31. Source = timecard data from Kronos, payroll data from Paychex, Earnin and Intuit.
  6. Mobility & Engagement = Dallas Fed Mobility and Engagement Index (NYSE:MEI). Source = Federal Reserve Bank of Dallas and geolocation data from SafeGraph
  7. WLEI = Weekly Leading Economic Index . Mostly financial, credit and labor market leading variables. Source = RecessionALERT.com.
  8. WCEI = Weekly Coincident Economic Index. 10 indicators of real economic activity, covering consumer behavior, labor market & production. Source = New York Fed.
  9. Traveler Throughput = TSA checkpoint Total Traveler Throughput numbers. Source = TSA
  10. Hours Worked = The volume of hours worked by 100,000+ local businesses and their hourly employees. Source = Homebase.

The resulting 10-factor composite is updated weekly and shown below:

Weekly Post-Covid Economic Recovery Tracker

 

 

 

 

 

 

 

 

 

 

We can make the following observations:

1. The composite index has completed around 80% of a recovery but progress has been agonizingly slow:WPCERT Composite

 

 

 

 

 

 

2. Small business and low-income categories have failed to adequately recover. Given the many millions of businesses and employees this covers, this is a tragedy:

WPCERT Worst performers

3. Economic mobility, TSA traveler throughput and hours worked all managed to recover half their losses but have failed to make any meaningful improvement on top of that. It is possible that this is the result of a new remote working or work from home paradigm at play here and that these items may not reach pre-Covid highs any time soon.

Stagnating

4. Traditional broad-based weekly economic indicators such as the RecessionALERT Weekly Leading Economic Index (WLEI) and the New York Fed Weekly Coincident Economic Index have shown robust rebounds to new post-Covid highs. Job postings and consumer spending have also shown robust recoveries:

Best performers

It goes without saying that a large portion of the US recovery is impacted by the success of coronavirus vaccination programs. On this score, the US seems to be faring a lot better than most developed economies with economic mobility improving whilst daily new infections are plummeting:

Despite the encouraging (albeit 3-speed) economic recovery, the broad stock market has likely discounted this all in already and remains stretched with major market top probabilities recently having reached levels normally associated with the start of a meaningful correction:

Market Top Probabilities

Fundamental valuations according to our RecessionALERT Valuation Index (RAVI) also remain stretched with the 1-year forecasting model (r-square of 0.45 with actual annual future returns) showing negative outcomes that at today’s price levels imply a potential 22% correction:

Annual Returns Forecast

The more accurate 2-year forecasting model (r-square of 0.56 with actual 24 month future returns) also shows negative outcomes that at today’s price levels also imply a potential 22% correction ahead:

2-year forecasts

It is also worthwhile noting that the quadrennial market cycle from our STM Seasonality Model, which has been performing exceptionally well with out-of-sample dataset for the last decade is signaling a short position for the month of June:

STM Seasonality Model

Finally, the last shocking 4.2% CPI print for the US has led to real earnings yields plunging below 0.35% which has normally presaged a major macro level market top:

With technical metrics (probabilities of a market top), and valuations/real yields both stretched and seasonality at levels normally associated with muted forward returns, it may be prudent to investigate some measures of portfolio protection for the months ahead.

A new coronavirus wave is starting in USA

One of the most accurate and reliable leading indicators we have discovered for the U.S daily new Coronavirus infections curve is the percentage of 52 US states that have an increasing or decreasing rate of new daily infections being reported. This indicator tops out before the national US infection tally and likewise bottoms before the national US infection tally. It is thus an early warning indicator for change in direction of the daily new infections curve.

The percentage of US states with rising daily infections fell rapidly from 50 (achieved 8 days before national daily infections peaked) to almost zero as  lockdowns and stay-at-home orders came into affect. It is even likely that vaccination programs contributed somewhat to the decline. However, over the last few days, this tally has jumped from 4 to an astonishing 23 states with rising daily 7-day average infection rates:

It is highly likely that the third major coronavirus wave in the US has bottomed out and we are set for the start of a new fourth wave of infections. We do not have hard data to assist with determining whether the 4th wave will be as large or larger than  the 3rd, but the assumption of ongoing successful vaccination programs likely means that the 4th wave will be a lot smaller.

The chart above shows us that large jumps in the metric are normally when we emerge from lockdowns or major holidays, as depicted by the blue line which is a geolocation based economic mobility index. When economic mobility comes out of a steep dip, the black line rises rapidly as increased human interaction raises infections.  As you can see we are emerging from a recent steep dip in economic mobility, created by the Presidents Day holiday that was used as a long weekend. The prior big dip where this phenomenon was witnessed  was Xmas/New Year, the one before that was Thanksgiving, and the one before that was Labor Day. In each case, the national tally of daily new cases (brown line) rose dramatically afterwards.

Takeaways:

  1. The last big coronavirus wave has bottomed out
  2. Economic mobility is going to rise as we emerge from Presidents day holiday effects
  3. The number of states with rising daily infections will likely  continue to shoot up
  4. The US national tally of daily new infections is going to rise dramatically, vaccinations notwithstanding.

Launch of Institutional Crypto Advisory

After hundreds of client Zoom consultations over the last 6 months, the request for a fundamentally-driven macro-risk model for cryptocurrency (specifically Bitcoin), similar to the ones we provide for the US economy and SP500, was one of the many topics topics among just under 49% of the calls. The request was highest among high net-worth private investors, family offices and small funds, but we expect company treasurers and larger institutions to become more formally involved with Bitcoin as a possible hedge against dollar depreciation and inflation.

Fortunately we have over five years active experience with Bitcoin and Ethereum, having been involved when BTC was still $900 in late 2016. What was a small 1% exposure built up over late 2016 to early 2017, has ballooned to over 10% during this time, meaning we have a very active interest in monitoring macro-cycles and risk models associated with the cryptocurrency. Whilst we were surprised at how many of our clients have, or are planning exposure to Bitcoin (either in their private or formal capacity) we are delighted to share with them the fruits of our five year journey.

The Crypto Advisory has been designed for large investors, family offices, company treasurers and  fund managers who are exposed to Bitcoin (either through direct ownership or Trusts such as Grayscale) and seek institutional-grade macro-level, fundamentally-driven risk and valuation models. The charts and models displayed here are what we have developed over the last 5 years for our own crypto investments and currently deem to be the most important items to track and measure macro risk/opportunity for cryptocurrency.

The models are a mixture of supply/demand metrics, valuation, regression and pricing models, as well as cyclical factors. All data used are a mix of on-chain analytics (data taken directly from the blockchains themselves), futures markets and exchange pricing data.

The Crypto Advisory is provided as standard with our most basic subscription and thus also includes unlimited in-person consultancy (via Zoom) with our crypto analysts to allow any private investors, family offices or institutional clients to jump start their crypto operations or to sanity check their existing ones. Expertise can be provided regarding what wallets and exchanges to use, which crypto-assets to focus on as well as what additional tools may prove useful.

Stage is set for stock market gains in November

The SP500 has put in a 7.4% peak-to-trough correction since 12 October.

In the last 20 years, according to our SP500 probability model, corrections of more than this magnitude have occurred only 11.4% of the time, hinting at a 88.6% probability the worst is over.

The SP500 has also put in lower weekly closes 3 weeks in a row. Additional lower weekly closes have only occurred 15.9% of the time in the past, implying a 84.1% probability the worst is over.

The VIX has jumped to levels only exceeded 8.4% of the time, implying a 91.6% probability the worst is over.

The correction has endured 15 sessions, with longer corrections witnessed only 17% of the time, implying a 83% probability the worst is over.

These 4 measurements imply we are close to having seeing the worst, according to the historical record of price action.

Further conviction for a positive month in November comes from the Seasonality Timing Model (STM) where the Composite Seasonality Score (which examines long-term historical record of monthly gains, positivity rates and gain/loss ratios across 4 different seasonality cycles) is 74.0, just under the extremely bullish threshold that encourages leverage due to high incidence of positive outcomes:

Given the large correction we saw over the last 2 months, this prediction is much more likely to come into play. It is not often we see 2x LEVERAGE levels on the seasonal forecasting models coupled with a prior 2 month or longer correction of 7% or more. In 90% of the cases the seasonal forecasts prove accurate.

Even if we were concerned about the effects of the current election on outcomes, we can examine the 4-year Presidential Cycle model for cues on this particular Novembers’ performance. This model has been out-performing the 1,2 and 3-year cycles over the last decade:

The Presidential Cycle model is bullish for November (1 long position), and even suggests to lever-up in December (2 long positions due the historical 80% win rate for that month):

On the whole, across the 1,2,3 and 4-year seasonal cycles, as well as the composite model, the upcoming 3 months of November, December and January are  forecast to be statistically bullish.

The easiest way to cue your market entries, if you are following any (or all) of our 12 market timing models, is to simply examine the SIGS signal composite for the first two or three BUY signals to appear. The bottom signal composite line will jump from -12 (all bearish) to a higher reading as the first models start going bullish:

The SIGS composite is available from the “SP500 Signals” tab in the Charts Dashboard.

You can also go and examine further detail for the next 3 months in the Seasonality Timing Model in the “STM” tab in the Monthly Charts menu.

A new, bigger U.S Coronavirus peak now likely

For a while, it seemed we had tamed the coronavirus epidemic in the US. But new daily cases are on the 3rd surge since the epidemic hit US shores:

The U.S lags most of Europe’s ‘  countries by about 4-6 weeks on the coronavirus curve. When we saw the infections picking up in Europe after lockdowns had been eased, we wondered if the US might be able to dodge a bullet, but sadly it appears a new wave of infections is now upon America as we follow the same path as those countries in Europe that were ahead of the US curve:

Particularly alarming is Italy – you will remember the horror stories coming out of Italy in the lead up to its peak, and it looks like they are set to shoot past that peak. The United Kingdom has simply blown past the old peak as has Spain.

Given that many developed countries (that had massive waves of infections they managed to suppress) are now surging past their prior peaks, it is wishful thinking to assume the U.S will not follow suit.

The reasoning for this is simple – deep suppression of daily caseloads, leads to relaxation of stay-at-home orders and lockdowns, which leads to increased mobility and social contact, and gradually a slippage in population diligence, caution and due care. Given that not one country is even close to herd immunity, the outcomes are predictable.

The below charts show that among the 40 largest economies in the world, economic mobility as an aggregate has stalled for some time now and almost 40% more countries have rising daily infections than those with falling infections:

To this end we need to prepare to exceed the U.S daily new cases peak of 67,000 and prepare for this to move close to 100,000 new cases per day.

Without a doubt that is going to lead to more stay-at-home orders and lockdowns, even if not as harsh as the initial ones, and it is going to have a huge hit on U.S Economic mobility, which as we have shown, is running comfortably north of 0.9 r-squared to other weekly leading economic  indices and is an excellent proxy for measurement of economic conditions.

In a nutshell, we have not seen the worst of the Coronavirus epidemic in the U.S and the “main peak” is yet to come, with the economy likely taking a hit.

The U.S economic rebound has already stalled according to a broad measurement of high frequency data:

The resurgence in daily new coronavirus cases is not isolated to a few states. We have the number of states in serious trouble (within 20% of their daily peaks) climbing from about 10 to almost 30 now. The number of states that had managed to bring the virus under control (less than 33% of their daily peaks) has dropped from 12 to just 7 now.

The next U.S president is going to find themselves in uncharted waters shortly after being inaugurated  and its difficult to see how economic mobility, and thus the economy, can break out of its current recovery plateau. In the prior (2nd) infection surge, economic mobility flatlined, so we should expect nothing less. In fact, it is not improbable that the recovery pulls back somewhat against a backdrop of a 3rd surge.

The road to immunity, herd or vaccine, is likely to be a rocky ride well into 2021.

 IMPORTANT : DUE TO GOVERNMENT SHUTDOWN MANY REPORTS AND DOWNLOADABLE EXCEL FILES ARE NOT BEING UPDATED.