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Anomalies


Erica X. N. Li


The Stephen M. Ross School of Business at the University of Michigan

Dmitry Livdan


University of California, Berkeley

Lu Zhang


Ohio State University - Fisher College of Business; National Bureau of Economic Research (NBER)

July 10, 2008

Review of Financial Studies, Forthcoming

Abstract:     
We take a simple q-theory model and ask how well it can explain external financing anomalies, both qualitatively and quantitatively. Our central insight is that optimal investment is an important driving force of these anomalies. The model simultaneously reproduces procyclical equity issuance waves, the negative relation between investment and average returns, long-term underperformance following equity issues, positive long-term drift following cash distributions, the mean-reverting operating performance of issuing and cash-distributing firms, and the failure of the CAPM in explaining the long-term stock-price drifts. However, the model cannot fully capture the magnitude of the positive drift following cash distributions observed in the data.

Number of Pages in PDF File: 60

Keywords: Anomalies, the q-theory, optimal investment, time-varying expected return, rational expectations economics

JEL Classification: D21, D92, E22, E44, G12, G14, G31, G32, G35

Accepted Paper Series


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Date posted: July 10, 2008  

Suggested Citation

Li, Erica X. N., Livdan, Dmitry and Zhang, Lu, Anomalies (July 10, 2008). Review of Financial Studies, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1157699

Contact Information

Erica X. N. Li
The Stephen M. Ross School of Business at the University of Michigan ( email )
701 Tappan Street
Ann Arbor, MI 48109
United States
Dmitry Livdan
University of California, Berkeley ( email )
545 Student Services Building
Berkeley, CA 94720
United States
(510) 642-4733 (Phone)
Lu Zhang (Contact Author)
Ohio State University - Fisher College of Business ( email )
2100 Neil Avenue
Columbus, OH 43210-1144
United States
585-267-6250 (Phone)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


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