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U.S Stock Market Valuations continue to warn

By RecessionALERT on March 11, 2019 in Reflections

We have updated the RecessionALERT Valuation Index (RAVI) forecast models for the SP500 using 4Q2018 data. Stock market valuations continue to pose a “clear and present danger” to positive economic and SP500 returns outcomes, and have worsened since our last warning . One and two year SP500 forecasts continue to offer relatively accurate short-run estimates […]

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Stocks valuations pose “clear & present” danger.

By RecessionALERT on December 10, 2018 in Reflections

Those clients who have been with us since 2010 will know our refrain from issuing unnecessary and/or sensationalist warnings about the economy and markets. In fact, in 2012, the general consensus was that the US economy was about to fall back into recession, a view we opposed to quite some ridicule from certain quarters. Whilst […]

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RecessionALERT Valuation Index (RAVI)

By RecessionALERT on December 2, 2014 in Research Papers

PART-1 There are currently 4 mainstream models used to forecast 10-year total returns on the SP-500 (dividends re-invested) The Shiller CAPE ratio (PE10) The Warren Buffet Indicator Tobin’s Q-Ratio Average Investor allocation to stocks The non-linear quarterly correlations between these four models (x-axes) and achieved 10-year future total returns (y-axes) on the SP-500 since 1970 are […]

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Valuations not at nose-bleed levels yet

By RecessionALERT on November 25, 2014 in Reflections

The recent run in the major U.S stock indices has resulted in Shiller-PE charts being trotted out showing how far we are off the historical mean, implying a nasty pullback is in the works. The problem with a historical mean is that it is a single horizontal value on a chart that fails to take […]

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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.