Abstract

http://ssrn.com/abstract=1108905
 
 

References (54)



 
 

Citations (11)



 


 



Sequential Learning, Predictability, and Optimal Portfolio Returns


Michael S. Johannes


Columbia Business School - Finance and Economics

Arthur G. Korteweg


University of Southern California - Marshall School of Business

Nick Polson


University of Chicago - Booth School of Business

March 18, 2013

Journal of Finance, Forthcoming
AFA 2009 San Francisco Meetings Paper

Abstract:     
This paper finds statistically and economically significant out-of-sample portfolio benefits for an investor who uses models of return predictability when forming optimal portfolios. The key is that investors must incorporate an ensemble of important features into their optimal portfolio problem, including time-varying volatility, and time-varying expected returns driven by improved predictors such as measures of yield that include share repurchase and issuance in addition to cash payouts. Moreover, investors need to account for estimation risk when forming optimal portfolios. Prior research documents a lack of benefits to return predictability, and our results suggest that this is largely due to omitting time-varying volatility and estimation risk. We also study the learning problem of investors, documenting the sequential process of learning about parameters, state variables, and models as new data arrives.

Number of Pages in PDF File: 58

Keywords: Learning, predictability, optimal portfolio formation

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Date posted: March 25, 2008 ; Last revised: April 4, 2013

Suggested Citation

Johannes, Michael S. and Korteweg, Arthur G. and Polson, Nick, Sequential Learning, Predictability, and Optimal Portfolio Returns (March 18, 2013). Journal of Finance, Forthcoming; AFA 2009 San Francisco Meetings Paper. Available at SSRN: http://ssrn.com/abstract=1108905 or http://dx.doi.org/10.2139/ssrn.1108905

Contact Information

Michael Slater Johannes
Columbia Business School - Finance and Economics ( email )
3022 Broadway
New York, NY 10027
United States

Arthur G. Korteweg (Contact Author)
University of Southern California - Marshall School of Business ( email )
3670 Trousdale Parkway
Los Angeles, CA 90089
United States
HOME PAGE: http://www-bcf.usc.edu/~korteweg/

Nick Polson
University of Chicago - Booth School of Business ( email )
5807 S. Woodlawn Avenue
Chicago, IL 60637
United States
773-702-7513 (Phone)
773-702-0458 (Fax)
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