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Robert Shiller's incredible research

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Some of you may already know about economist Robert Shiller, author of Irrational Exuberance. Mr. Shiller has done an incredible amount of research on the stock market, the housing market, and other big issues in the business and finance world. He is pessimistic on today's stock market, read on for further information.

A piece of his work that I really find interesting is a stock market evaluation technique that he came up with. It is quite simple. All you do is take the S&P 500's current share price and divide it by average corporate earnings. If the result is above 20, the market has historically performed poorly in the years after. If the result is below 10, the market has historically performed quite well after that point. At the peak of the tech bubble the result was an astonishing 44, today it is hanging around 17.

This technique keeps you in tune with the support earnings are giving the S&P 500, and to make sure that doesn't slip away. In almost every case of a ratio above 20, it has been during a bull market when people forget about valuation and financials, and go with "the hot thing."

It is something worth keeping an eye on, because it is also a simple way to keep in touch with Benjamin Graham's emphasis on value investing (Shiller's technique has followed the basic idea of Graham's approach to stay away from the stock market when it is "flying high" and everyone is all of a sudden hyped about the stock market) and buying when the market has been hit, or when there is no longer faith in stocks and the stock market.

But that is only one of the many reports that Robert Shiller has put together. His web site gives you access to an incredible amount of research, including an excellent report on the P/E (Dated 7/21/96), of which a brief sample follows:

The simplest and most widely used ratio used to predict the market is the price–earnings ratio. The use of one-year's earnings in the price–earnings ratio is an unfortunate convention, recommended by tradition and convenience rather than any logic. As long ago as 1934, Benjamin Graham and David Dodd, in their now famous textbook Security Analysis, said that for purposes of examining such ratios, one should use an average of earnings of "not less than five years, preferably seven or ten years." (p. 452) Earnings in any one year tend to be affected by short-run considerations, that cannot be expected to continue. In the present time, earnings have suddenly shot up in the last few years, bringing price–earnings ratios down dramatically, but it is doubtful that such sudden changes are meaningful. We extend our moving average even further than Graham and Dodd did, on the supposition that even more smoothing is advantageous, and Graham and Dodd didn't have the data then to make such smoothing possible.

We chose to represent long-horizon returns, of ten years, since that is what really matters to most investors, because there is so much interest today in long-term investing, and because there is recent evidence in the statistical literature that the long-horizon returns are more forecastable. This may be contrary to one's expectations; one might have thought that it is easier to forecast into the near future than into the distant future, but the data contradict such intuition. This forecastability of the market is not the kind of thing that will enable us to forecast that a crash is around the corner; it is forecasting gradual trends, analogous to forecasting the prospects for a city based on population trends, or forecasting the success of a university in terms of the number of young people who are enrolling.

It is some incredible work, and I encourage anyone interested in business, finance, and/or the economy to read some of his research papers. They have been very accurate so far, and most likely will be in the future. For some more information on Robert Shiller and his latest work, take a look at these articles:

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IndexesChangePrice
DJIA+30.6910,464.40
NASDAQ+6.872,176.05
S&P 500+4.981,110.63

Last updated: November 25, 2009: 08:11 PM

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