gdp | RecessionAlert

Tag Archives | gdp

MIB: S&P 500 All-Time High on Earnings Strength as GDP Miss, Oil Blockade, and No-Cut Odds Dominate

By RecessionALERT on April 30, 2026 in Reflections

Trump’s Hormuz blockade sent Brent to $126 intraday (settling $114); US gasoline hits $4.30/gallon, threatening $190B in annualized spending losses. S&P 500 set record 7,209 — best April since 2020 — as GOOGL, CAT, and LLY each surged ~10% on earnings beats while META fell -8.65% on $145B AI capex without ROI clarity. Q1 GDP +2.0% (slight miss), PCE 3.5%, ECI +0.9% — markets price 77% odds of no Fed cuts in 2026; Warsh clears Senate Banking 13-11, confirmation due May 11.

Read full story · Comments are closed

ECONOMY: The Recession Warning With an Asterisk

By RecessionALERT on February 25, 2026 in Reflections

For over 2 years now, our commentary has made the point that the labor market – more particularly Payroll Employment and the Employment Level household surveys – were the “last man standing” in a sea of negative or weak leading data. For this reason, the NBER coincident models (all 3 of them) were not confirming recession. However the latest Friday BLS downward revisions, on top of countless before them, are becoming the straw that could break the camels’ back. The […]

Read full story · Comments are closed

Number of countries with back-to-back negative quarterly GDP prints is rising

By RecessionALERT on July 1, 2016 in Reflections

The percentage of 41 OECD countries around the globe that have just posted a negative 1Q2016 on the back of a negative 4Q2015 (old fashion technical recession) has started to rise. Its nothing to be concerned about just yet but the rise itself, although shallow, is something worth watching as 2Q2016 numbers start coming out.

Read full story · Comments are closed

IMPORTANT DISCLAIMERS: Although many of our models rely heavily on back-testing, optimisation and probability methods, please note that past performance is NO GUARANTEE for future returns. No system devised by man can predict the future, let alone the future of the markets and economies. What we have are sets of mathematical models that use historical data and varying theories to pinpoint places in time when the STATISTICAL LIKELYHOOD of calling the start and end to recessions is the greatest. In the midst of all the best mathematical models, you can have geo-political events, wars, terrorist attacks, natural disasters and even nuclear accidents that tip everything upside down. This is always a risk factor you need to factor in on any recession call no matter how confident you are in a signal. The SuperIndexes are created through mathematical and statistical optimisation techniques that best fit the historical NBER data. There is no guarantee that out-of-sample performance will match that of prior in-sample performance.