Abstract

 


 



Estimating Short-run Persistence in Mutual Fund Performance


Jenke Ter Horst


Tilburg University - Center for Economic Research (CentER)

Marno Verbeek


Erasmus University - Rotterdam School of Management; Erasmus Research Institute of Management (ERIM); Netspar


Review of Economics and Statistics, Vol. 82, pp. 646-655, November 2000

Abstract:     
This paper analyzes the properties of a number of estimators that can be used to estimate short-run persistence in mutual fund returns. When data for different funds are pooled, it is advisable to correct for cross-sectional differences in expected returns. However, these adjustments may induce biases in the estimated persistence coefficients and thus lead to spurious persistence. Theoretical derivations, combined with a Monte Carlo study, show that these biases cannot be neglected for the samples that are typically used in applied work. The short-run persistence is estiamted in two samples of US open-end mutual funds using quarterly returns for 1987-1994. An important conclusion is that the results are quite sensitive to the estimation method that is employed.

Keywords: performance persistence, small sample bias

JEL Classification: G14, C22

Accepted Paper Series


Date posted: January 4, 2006  

Suggested Citation

Ter Horst, Jenke R. and Verbeek, Marno, Estimating Short-run Persistence in Mutual Fund Performance. Review of Economics and Statistics, Vol. 82, pp. 646-655, November 2000. Available at SSRN: http://ssrn.com/abstract=873525

Contact Information

Jenke R. Ter Horst
Tilburg University - Center for Economic Research (CentER) ( email )
P.O. Box 90153
Tilburg, 5000 LE
Netherlands
Marno Verbeek (Contact Author)
Erasmus University - Rotterdam School of Management ( email )
P.O. Box 1738
Room T09-53
3000 DR Rotterdam
Netherlands
+31 10 408 2790 (Phone)
HOME PAGE: http://www.rsm.nl/mverbeek
Erasmus Research Institute of Management (ERIM)
P.O. Box 1738
3000 DR Rotterdam
Netherlands
Netspar
P.O. Box 90153
Tilburg, 5000 LE
Netherlands
Feedback to SSRN (Beta)


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