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Asset Pricing Models: Implications for Expected Returns and Portfolio Selection


A. Craig Mackinlay


University of Pennsylvania - Finance Department; National Bureau of Economic Research (NBER)

Lubos Pastor


University of Chicago - Booth School of Business; Centre for Economic Policy Research (CEPR); National Bureau of Economic Research (NBER)

June 1999

NBER Working Paper No. w7162

Abstract:     
Implications of factor-based asset pricing models for estimation of expected returns and for portfolio selection are investigated. In the presence of model mispricing due to a missing risk factor, the mispricing and the residual covariance matrix are linked together. Imposing a strong form of this link leads to expected return estimates that are more precise and more stable over time than unrestricted estimates. Optimal portfolio weights that incorporate the link when no factors are observable are proportional to expected return estimates, effectively using an identity matrix as a covariance matrix. The resulting portfolios perform well both in simulations and in out-of-sample comparisons.

Number of Pages in PDF File: 41

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Date posted: July 12, 2000  

Suggested Citation

Mackinlay, A. Craig Craig and Pastor, Lubos, Asset Pricing Models: Implications for Expected Returns and Portfolio Selection (June 1999). NBER Working Paper No. w7162. Available at SSRN: http://ssrn.com/abstract=227347

Contact Information

Archie Craig MacKinlay (Contact Author)
University of Pennsylvania - Finance Department ( email )
The Wharton School
3620 Locust Walk
Philadelphia, PA 19104
United States
215-898-5309 (Phone)

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Lubos Pastor
University of Chicago - Booth School of Business ( email )
5807 S. Woodlawn Avenue
Chicago, IL 60637
United States
773-834-4080 (Phone)
773-702-0458 (Fax)
HOME PAGE: http://www.ChicagoGSB.edu/fac/lubos.pastor/
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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