December | 2019 | RecessionAlert

Archive | December, 2019

Analyzing SP-500 Seasonal Trends

By RecessionALERT on December 27, 2019 in Research Papers

For this research, we examine annual, bi-annual, tri-annual and quadrennial cyclical seasonal characteristics of SP500 monthly closing prices since 1957 and show how to combine all these cycles into a single powerful seasonal indicator. The annual cycle consists of a single phase of 12 months which comprise the historical statistical record of 63 cycles. The bi-annual cycle consists of two phases of 12 months each which comprise the historical statistical record of 32 cycles. The tri-annual cycle consists of three […]

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U.S economy likely dodged a bullet

By RecessionALERT on December 13, 2019 in Reflections

For two years, our comprehensive U.S monthly Leading Index (USMLEI) has been deteriorating, more recently to worrisome levels, with exactly half of the 23 components now in recession territory: What was really alarming was that this was occurring against the background of elevated RAVI local stock market valuations, an inverted yield curve, a deteriorating Global LEI, a US housing market recession and a global trade recession. We think the worst is likely over however. Notwithstanding a likely de-escalation in the […]

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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.