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Pseudo Market Timing and Predictive Regressions


Malcolm P. Baker


Harvard Business School; National Bureau of Economic Research (NBER)

Ryan Taliaferro


Acadian Asset Management

Jeffrey Wurgler


NYU Stern School of Business; National Bureau of Economic Research (NBER)

October 2004

NBER Working Paper No. w10823

Abstract:     
A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's (2003) pseudo market timing bias. We use standard simulation techniques to estimate the size of the aggregate pseudo market timing bias for a variety of predictive regressions based on managerial decision variables. We find that the bias can explain only about one percent of the predictive power of the equity share in new issues, and that it is also much too small to overturn prior inferences about the predictive power of corporate investment plans, insider trading, dividend initiations, or the maturity of corporate debt issues.

Number of Pages in PDF File: 38

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Date posted: October 19, 2004  

Suggested Citation

Baker, Malcolm P., Taliaferro, Ryan and Wurgler, Jeffrey A., Pseudo Market Timing and Predictive Regressions (October 2004). NBER Working Paper No. w10823. Available at SSRN: http://ssrn.com/abstract=603643

Contact Information

Malcolm P. Baker (Contact Author)
Harvard Business School ( email )
Boston, MA 02163
United States
617-495-6566 (Phone)
HOME PAGE: http://www.people.hbs.edu/mbaker
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Ryan Taliaferro
Acadian Asset Management ( email )
United States
Jeffrey A. Wurgler
NYU Stern School of Business ( email )
Stern School of Business
44 West 4th Street, Suite 9-190
New York, NY 10012-1126
United States
212-998-0367 (Phone)
212-995-4233 (Fax)
HOME PAGE: http://www.stern.nyu.edu/~jwurgler/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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