Volume 75, Issue 5 p. 2631-2672
ARTICLE

The Causal Effect of Limits to Arbitrage on Asset Pricing Anomalies

YONGQIANG CHUDAVID HIRSHLEIFERLIANG MA

Corresponding Author

LIANG MA

Yongqiang Chu is with the Belk College of Business, University of North Carolina, Charlotte. David Hirshleifer is with the Merage School of Business, University of California at Irvine and NBER. Liang Ma is with the Darla Moore School of Business, University of South Carolina. For helpful comments and suggestions, we thank Wei Xiong (the editor); an anonymous associate editor; two anonymous referees; Karl Diether; Lukasz Pomorski; Jeffrey Pontiff; Lin Sun; and participants at the 2016 Rodney L. White Center for Financial Research Conference on Financial Decisions and Asset Markets at Wharton and the 2017 American Finance Association Meetings. This research has received financial support from the Moore School Research Grant Program. The authors have read The Journal of Finance disclosure policy and have no conflicts of interest to disclose.

Correspondence: Liang Ma, Department of Finance, Darla Moore School of Business, University of South Carolina, 1014 Greene Street, Columbia, SC 29208; e-mail: liang.ma@moore.sc.edu.

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First published: 21 May 2020
Citations: 92

ABSTRACT

We examine the causal effect of limits to arbitrage on 11 well-known asset pricing anomalies using the pilot program of Regulation SHO, which relaxed short-sale constraints for a quasi-random set of pilot stocks, as a natural experiment. We find that the anomalies became weaker on portfolios constructed with pilot stocks during the pilot period. The pilot program reduced the combined anomaly long–short portfolio returns by 72 basis points per month, a difference that survives risk adjustment with standard factor models. The effect comes only from the short legs of the anomaly portfolios.

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