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In What Works on Wall Street, O'Shaughnessy examines the performance of the highest and lowest price/earnings, price/sales, price/book value, relative strength, yield and earnings growth stocks over various periods, trying to find which types of companies tended to perform best. Although you can quibble with a lot of the data, the sheer magnitude of the task O'Shaughnessy has undertaken is impressive. His final, multifactor strategies that generated the best investments over time are very interesting, particularly the Cornerstone Value approach, which is very similar to the Dow Dividend Approach with a few other bells and whistles.
O'Shaughnessy's book and its findings should be read, discussed and disputed by all investors. However much one can criticize the work for being too focused on the plight of professional money managers looking to pick fifty stocks and not individual investors looking to pick five, the information is valuable and compelling. The only warning that I would give to readers is to be aware of a methodological error in the way O'Shaughnessy does the statistics. Because of the time required, O'Shaughnessy and his team looked at how the 50 highest or lowest stocks in any particular group performed. Extrapolating the performance of extreme data points to the entire set of data being studied is not entirely correct, as there are many processes in nature where the middle actually does not act like the extremes. Mass and velocity in physics are one example, where super-light and super-dense objects both do not obey the laws of physics, while everything in between does. With this caveat, I think an investor can learn a lot from the book.
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