The Constrained Asset Share Estimation (CASE) Method: Testing 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 relatively unrestricted ways. The data estimate reasonably the price of risk, and, in some cases, the MVE model is valuable in explaining expected equity returns. Unlike with most tests of MVE. we can put an explicit interpretation on the alternative hypothesis -- a general linear Tobin portfolio choice model. We reject the restrictions implied by MVE.
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Bibliographic InfoPaper provided by University of California at Berkeley in its series Economics Working Papers with number 90-134.
Date of creation: 01 Jan 1990
Date of revision:
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Postal: University of California at Berkeley, Berkeley, CA USA
Web page: http://www.haas.berkeley.edu/groups/iber/wps/econwp.html
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Other versions of this item:
- Charles Engel & Jeffrey A. Frankel & Kenneth A. Froot & Anthony P. Rodrigues, 1993. "The Constrained Asset Share Estimation (CASE) Method: Testing Mean-Variance Efficiency of the U.S. Stock Market," NBER Working Papers 4294, National Bureau of Economic Research, Inc.
- Engel, Charles & Frankel, Jeffrey A. & Froot, Kenneth A. & Rodrigues, Anthony, 1990. "The Constrainted Asset Share Estimation (CASE) Method: Testing Mean-Variance Efficiency of the U.S. Stock Market," Department of Economics, Working Paper Series qt3xh3d7xn, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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