Abstract

 
 

Citations



 


 



Closed-end Funds and Turnover Restrictions


Nusret Cakici


Fordham University - Graduate School of Business

Anthony Tessitore


City of London Investment Group PLC - Quantitative Management Limited

Nilufer Usmen


Montclair State University - School of Business


Financial Analysts Journal, Vol. 58, No. 3, May/June 2002

Abstract:     
Past studies have found that investors can earn higher returns than a benchmark by purchasing shares of closed-end funds with discounts or selling shares with premiums. These studies either ignored the impact of transaction costs or used equally weighted portfolio strategies without controls on turnover or transaction costs. We examined whether constraining the holdings of individual funds and turnover has any bearing on the excess returns earned by closed-end equity funds over a benchmark return. We found that when transaction costs were low, portfolios with frequent rebalancing and loose turnover constraints outperformed the benchmark and other portfolios in the period we studied. We found, in contrast, that when transaction costs were moderate to high, portfolios with less-frequent rebalancing and tight turnover constraints outperformed the benchmark and other portfolios. The implication for the portfolio manager is that excess returns may be achieved in a variety of trading-cost environments with the proper mix of policy variables.

Accepted Paper Series


Date posted: August 20, 2002  

Suggested Citation

Cakici, Nusret, Tessitore, Anthony and Usmen, Nilufer, Closed-end Funds and Turnover Restrictions. Financial Analysts Journal, Vol. 58, No. 3, May/June 2002. Available at SSRN: http://ssrn.com/abstract=316582

Contact Information

Nusret Cakici (Contact Author)
Fordham University - Graduate School of Business ( email )
Anthony Tessitore
City of London Investment Group PLC - Quantitative Management Limited ( email )
510 Thornall Street
Suite 220
Edison, NJ 08837
United States
Nilufer Usmen
Montclair State University - School of Business ( email )
Upper Montclair, NJ 07043
United States
973-655-7075 (Phone)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 565

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo7 in 0.797 seconds