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Global Slowdown – Does it affect the U.S?

By RecessionALERT on May 6, 2015 in Research Papers

There is no question that the Global Economy is languishing. Now, with weakness in US economic data starting to filter through, the big question that arises is if the U.S will be dragged down by the global economy. The U.S is a very insular economy and whilst there can be no doubt that global economic slowdowns do have an effect on the U.S economy, we show that the correlation between global recessions and U.S recessions is surprisingly low. EXHIBIT-A : Global […]

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Seven Paw-prints of the Bear

By RecessionALERT on August 15, 2013 in Research Papers

For decades, investors have sought out methods to detect oncoming bear markets. With this current bull market now in its 5th year the subject has become even more topical – “Has the bull market still got legs?” is a question pondered every day by millions of investors. In this research note, we cover seven of ten reliable Bear Market warning signs we use and how they can be combined into a simple stock market exposure allocation strategy. But first, let’s […]

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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.