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February 1, 2007 - Why Rational Asset Pricing Models Don't Work Well

Proponents of rational markets build on a common-sense foundation of reward for risk, with price variability (beta) as the fundamental risk. Since this single source of risk does not predict asset prices very well, rationalists have empirically appended to their models other sources of risk (proxied by size, value and momentum factors) in search of better predictions. Proponents of behavioral finance counter with innate cognitive and emotional biases (irrationality) as causes of rational model failures. Is there a way to prove one of these two views more correct? Should rationalists look for additional risk factors? Does some third perspective offer insight? In their January 2007 preliminary paper entitled "Failure of Asset Pricing Models: Transaction Cost, Irrationality, or Missing Factors" Joon Chae and Cheol-Won Yang tackle these questions. Using monthly stock return data for 700 Korean firms over the period December 1997 to November 2004 (84 months), along with associated measures for both potential degree of trader rationality (sophistication) and transaction costs, they conclude that:

In summary, the authors find that both market friction and investor irrationality play substantial roles in the pricing of stocks.

Confirmation of an irrationality effect offers support to traders looking for overreactions and underreactions. But, it seems that the only way to beat transaction costs is to be one who collects and not one who pays.

For related research, see Blog Synthesis: Valuation Based on Fundamentals and Blog Synthesis: Animal Spirits Round-up.

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