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Predictive Regressions: A Present-Value Approach

Jules H. Van Binsbergen
Stanford University - Graduate School of Business

Ralph S. J. Koijen
University of Chicago - Booth School of Business


January 12, 2009


Abstract:     
We propose a latent-variables approach within a present-value model to estimate the expected returns and expected dividend growth rates of the aggregate stock market. This approach aggregates information contained in the whole history of the price-dividend ratio and dividend growth rates to obtain predictors for future returns and dividend growth rates. We find that both returns and dividend growth rates are predictable with R-squared values ranging from 8.2-8.9 percent for returns and 13.9-31.6 percent for dividend growth rates. Both expected returns and expected dividend growth rates have a persistent component, but expected returns are more persistent than expected dividend growth rates.

Keywords: predictive regressions, present-value models

JEL Classifications: G12, C32

Working Paper Series

Date posted: March 04, 2007 ; Last revised: February 16, 2009

Suggested Citation

Van Binsbergen, Jules H. and Koijen, Ralph S. J., Predictive Regressions: A Present-Value Approach (January 12, 2009). Available at SSRN: http://ssrn.com/abstract=968053


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Contact Information

Ralph S. J. Koijen (Contact Author)
University of Chicago - Booth School of Business ( email )
5807 South Woodlawn Avenue
Chicago, IL 60637
United States
HOME PAGE: http://faculty.chicagogsb.edu/ralph.koijen/
Jules H. Van Binsbergen
Stanford University - Graduate School of Business ( email )
518 Memorial Way
Stanford, CA 94305-5015
United States
6507211353 (Phone)
6507259932 (Fax)
HOME PAGE: http://www.stanford.edu/~jvb2/Binsbergen.htm

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