Testing the capital asset pricing model efficiently under elliptical symmetry: a semiparametric approach

Keith Vorkink, Douglas James Hodgson () and Oliver Bruce Linton ()
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Keith Vorkink: Mariott School of Management, Brigham Young University, Provo UT 84602, USA, Postal: Mariott School of Management, Brigham Young University, Provo UT 84602, USA

Journal of Applied Econometrics, 2002, vol. 17, issue 6, pages 617-639

Abstract: We develop new tests of the capital asset pricing model that take account of and are valid under the assumption that the distribution generating returns is elliptically symmetric; this assumption is necessary and sufficient for the validity of the CAPM. Our test is based on semiparametric efficient estimation procedures for a seemingly unrelated regression model where the multivariate error density is elliptically symmetric, but otherwise unrestricted. The elliptical symmetry assumption allows us to avoid the curse of dimensionality problem that typically arises in multivariate semiparametric estimation procedures, because the multivariate elliptically symmetric density function can be written as a function of a scalar transformation of the observed multivariate data. The elliptically symmetric family includes a number of thick-tailed distributions and so is potentially relevant in financial applications. Our estimated betas are lower than the OLS estimates, and our parameter estimates are much less consistent with the CAPM restrictions than the corresponding OLS estimates. Copyright © 2002 John Wiley & Sons, Ltd.

Date: 2002
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Related works:
Working Paper: Testing the Capital Asset Pricing Model Efficiently Under Elliptical Symmetry: A Semiparametric Approach (2001)
Working Paper: Testing the Capital Asset Pricing Model Efficiently under Elliptical Symmetry: A Semiparametric Approach (2000)
Working Paper: Testing the Capital Asset Pricing Model Efficiently Under Elliptical Symmetry: A Semiparametric Approach (2001)
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