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Archive | August, 2016

Unemployment more widespread than thought

By RecessionALERT on August 22, 2016 in Reflections

The Total Non-farm Payrolls data made another solid print for the month of July 2016, leading to the assumption that all is good with employment in the U.S: Similarly, if we examine the countrywide Civilian Unemployment Rate, we also get reassuring signs: However, if we dig deeper and examine the per-state unemployment rates for 52 U.S states from the Bureau of Labor Statistics, a very different picture emerges: The average state unemployment rate seems to be putting in a bottom, […]

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NBER’s Big-4 Indicators had a narrow miss

By RecessionALERT on August 12, 2016 in Reflections

Reading through all the positive press about jobs numbers and so forth, its hard to comprehend that the 4 main indicators used by the National Buro of Economic Research (NBER) to determine US recessions, had a narrow miss recently. If you recall from our popular 2012 article, the NBER does not define a recession in terms of two consecutive quarters of decline in real GDP. Rather, a recession is a significant decline in economic activity spread across the economy, lasting […]

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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.