Abstract

 
 

References (13)



 
 

Citations (7)



 


 



The Predictive Performance of Morningstar's Mutual Fund Ratings


Roman Kräussl


Universite du Luxembourg - Luxembourg School of Finance; Emory University - Goizueta Business School

Ralph M. R. Sandelowsky


University of Amsterdam

August 17, 2007


Abstract:     
With currently more than 17,000 mutual funds available, many investors are looking for tools to identify the best performing mutual funds. The most well-known fund rating system is provided by Morningstar Inc. This study investigates in a thorough empirical analysis the predictive performance of mutual fund ratings given by Morningstar over the course of a 10 year period beginning March 1995. From this analysis it becomes clear that the predictive performances of the different rating systems used by Morningstar do not beat a random walk. Furthermore, our results show that the latest amendment to the rating system, the introduction of 64 categories over four different asset classes, has reduced the predictive performance of the rating system as a whole.

Number of Pages in PDF File: 29

Keywords: Predictive performance, Mutual funds, Morningstar 5-star rating system

JEL Classification: G11, G12, G14

working papers series


Download This Paper

Date posted: February 20, 2007 ; Last revised: April 7, 2012

Suggested Citation

Kräussl, Roman and Sandelowsky, Ralph M. R., The Predictive Performance of Morningstar's Mutual Fund Ratings (August 17, 2007). Available at SSRN: http://ssrn.com/abstract=963489 or http://dx.doi.org/10.2139/ssrn.963489

Contact Information

Roman Kraeussl (Contact Author)
Universite du Luxembourg - Luxembourg School of Finance ( email )
4, rue Albert Borschette
Luxembourg, 1246
Luxembourg
+3524666445442 (Phone)
HOME PAGE: http://www.art-finance.com
Emory University - Goizueta Business School ( email )
1300 Clifton Road
Atlanta, GA 30322-2722
United States
+14042812253 (Phone)
+14047275238 (Fax)
HOME PAGE: http://www.art-finance.com
Ralph M. R. Sandelowsky
University of Amsterdam ( email )
Amsterdam, 1018 WB
Netherlands
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 4,482
Downloads: 1,198
Download Rank: 6,931
References:  13
Citations:  7

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.484 seconds