Conditional mean-variance efficiency of the U.S. stock market
AbstractWe apply the method of constrained asset share estimation (CASE) to test the mean-variance efficiency (MVE) of the stock market. This method allows conditional expected returns to vary in unrestricted ways, given investor preferences. We also allow conditional variances to follow an ARCH process. The data estimate reasonably the coefficient of relative risk aversion, though are unable to reject investor risk neutrality. We reject the restrictions implied by MVE, although changing conditional variances improve statistically upon measured market efficiency. We find that unrestricted asset-share and ARCH models help forecast excess returns. Once MVE is imposed, however, this forecasting ability disappears.
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Bibliographic InfoPaper provided by Federal Reserve Bank of New York in its series Research Paper with number 8901.
Date of creation: 1989
Date of revision:
Other versions of this item:
- Charles Engel & Jeffrey A. Frankel & Kenneth A. Froot & Anthony P. Rodrigues, 1989. "Conditional Mean-Variance Efficiency of the U.S. Stock Market," NBER Working Papers 2890, National Bureau of Economic Research, Inc.
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