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Global Economy affects U.S stock market returns

By RecessionALERT on June 19, 2019 in Research Papers

The global economy is currently in the depths of a synchronized global business-cycle contraction, first highlighted by us in June 2018. In March 2019 we followed up with Global Economic Activity slowing at the fastest pace since 2011. The chart below highlights the Global Leading Economic Indicator together with the percentage of countries tracked that have a rising Leading Economic Indicator: The percentage of countries with a rising LEI is an excellent 2nd-derivative, leading the global LEI consistently through the […]

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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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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.