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A Better Three-Factor Model that Explains More Anomalies

Long Chen
Washington University, St. Louis

Lu Zhang
University of Michigan - Stephen M. Ross School of Business; National Bureau of Economic Research (NBER)



Journal of Finance, Forthcoming

Abstract:     
A new three-factor model consisting of the market factor and common factors formed on investment and return on assets goes a long way in summarizing the cross-sectional variation of expected stock returns. The model substantially outperforms traditional asset pricing models in describing average returns across testing portfolios formed on short-term prior returns, financial distress, net stock issues, asset growth, and earnings surprises. The model also performs roughly as well as the Fama-French model in accounting for average returns across portfolios formed on valuation ratios, industry, and CAPM betas. The model's performance, combined with its economic intuition, suggests that it can be used to obtain expected return estimates in practice.

Keywords: Anomalies, alpha, q-theory, factor regression, investment-based asset pricing

JEL Classifications: E44, G12, G14

Accepted Paper Series

Date posted: June 11, 2009 ; Last revised: September 16, 2009

Suggested Citation

Chen, Long and Zhang, Lu, A Better Three-Factor Model that Explains More Anomalies (June 11, 2009). Journal of Finance, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1418117


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Contact Information

Lu Zhang (Contact Author)
University of Michigan - Stephen M. Ross School of Business ( email )
701 Tappan Street, R 4336
Ann Arbor, MI 48109
United States
734-615-4854 (Phone)
HOME PAGE: http://webuser.bus.umich.edu/zhanglu/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Long Chen
Washington University, St. Louis ( email )
One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States
Feedback to SSRN (Beta)


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