Abstract

 
 

References (78)



 
 

Citations (42)



 


 



Share Restrictions and Investor Flows in the Hedge Fund Industry


Bill Ding


State University of New York at Albany - School of Business

Mila Sherman


University of Massachusetts at Amherst - Eugene M. Isenberg School of Management - Department of Finance & Operations Management

Bing Liang


University of Massachusetts at Amherst - Department of Finance & Operations Management; China Academy of Financial Research (CAFR)

Russ Wermers


University of Maryland - Robert H. Smith School of Business

November 16, 2009


Abstract:     
This paper studies the effect of share restrictions on the flow-performance relation of individual hedge funds. As such, we reconcile previous research that shows conflicting results for this relation without explicitly considering restrictions. Specifically, we find that hedge funds exhibit a convex flow-performance relation in the absence of share restrictions (similar to mutual funds), but exhibit a concave relation in the presence of restrictions - our evidence is consistent with both a direct effect of the binding restrictions and an indirect effect that is due to investors endogenizing expected future binding restrictions when investing their money. Further, we find that live funds exhibit a concave flow-performance relation due to stricter flow restrictions than defunct funds, which display a convex relation. Finally, we find that money is “smart,” that is, fund flows predict future hedge fund performance; however, this “smart money” effect is eliminated among funds with greater share restrictions.

Number of Pages in PDF File: 63

Keywords: hedge fund flows, share restrictions, asset illiquidity, life/defunct funds, smart money effect

JEL Classification: G23, G11

working papers series


Download This Paper

Date posted: March 21, 2006 ; Last revised: July 12, 2011

Suggested Citation

Ding, Bill, Sherman, Mila, Liang, Bing and Wermers, Russ R., Share Restrictions and Investor Flows in the Hedge Fund Industry (November 16, 2009). Available at SSRN: http://ssrn.com/abstract=891732 or http://dx.doi.org/10.2139/ssrn.891732

Contact Information

Bill Ding
State University of New York at Albany - School of Business ( email )
BA329
1400 Washington Ave.
Albany, NY 12222
United States
(518)442-4962 (Phone)
(518)442-3045 (Fax)
HOME PAGE: http://www.albany.edu/~bd865175/
Mila Sherman (Contact Author)
University of Massachusetts at Amherst - Eugene M. Isenberg School of Management - Department of Finance & Operations Management ( email )
Amherst, MA 01003-4910
United States
Bing Liang
University of Massachusetts at Amherst - Department of Finance & Operations Management ( email )
Amherst, MA 01003
United States
China Academy of Financial Research (CAFR)
1954 Huashan Road
Shanghai P.R.China, 200030
China

Russell R. Wermers
University of Maryland - Robert H. Smith School of Business ( email )
Department of Finance
College Park, MD 20742-1815
United States
301-405-0572 (Phone)
301-405-0359 (Fax)
HOME PAGE: http://www.rhsmith.umd.edu/finance/rwermers/
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 3,180
Downloads: 904
Download Rank: 10,998
References:  78
Citations:  42

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.454 seconds