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Obviously the title of this post is a riff on the classic book, Triumph of the Optimists by Dimson, Marsh and Staunton (2002). The book describes 100 years of investment returns across a range of markets, making a number of important conclusions. Unsurprisingly, the financial marketing complex narrowly focused its attention on the strong returns the authors observed in equity markets over the post WWII period.
However, more balanced readers would have noted the authors' belief that the historical indexes analyzed in the book overstate long-term performance because they are contaminated by survivorship bias. The authors are clearly of the opinion that long-term stock returns are seriously overestimated, due to a focus on periods that with hindsight are known to have been successful, while markets that were unsuccessful were not included. In other words, the analysis assumes that an investor would have known which markets would succeed and which would fail in advance.
Many of the most important countries at various stages of the past dozen decades were not included in the study because of a lack of consistent data. For example, Russia, China, Latin America, Eastern Europe and Southeast Asia were all largely ignored. Several of these countries experienced terminal collapses of equity markets and/or bond markets and/or currencies, which explain some of the discontinuities in the data.
Triumph of the Ostriches refers to the current situation in global markets where 'Ostrich' investment managers have been killing it. Recall that (according to the untrue but pervasive myth) an ostrich sticks his head in the sand at any sign of danger; presumably the ostrich perceives that if it doesn't see the danger, then it doesn't exist. In the same way, Ostrich managers ignore any and all signs of market risk in the hope that these risks won't materialize on their watch.
Throwing caution to the wind has been very profitable - so far. But if history is any guide, there are many reasons for investors to consider taking a much more cautious stance.
Here are the facts: according to every valuation metric that matters (i.e. with statistical significance through history), stocks are quite expensive. Further, when stocks are this expensive, returns to in future periods have been very low.
How low? The following table summarizes the statistical midpoint of future returns over the next 5, 10, 15, and 20 years based on an ensemble of valuation metrics including the Q ratio, cyclically adjusted PE, aggregate corporate market capitalization to GNP, and long-term price residuals. Those wishing to explore the mechanics behind this analysis are invited to read the full report here. Those looking for a second, third, fourth or fifth opinion from other well known firms will find them here.
Table 1. Statistical Return Forecasts for U.S. Stocks Over Relevant Investment Horizons
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