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Morningstar Ratings and Mutual Fund Performance

Christopher R. Blake
Fordham University - Graduate School of Business Administration

Matthew R. Morey
Pace University - Lubin School of Business - Department of Finance and Economics


March 15, 1999


Abstract:     
This study examines the degree to which the well-known Morningstar rating system is a predictor of out-of-sample mutual fund performance, an important issue given that high-rated funds receive the lion's share of investor cash inflow. We use a data set based on growth mutual funds that is free from survivorship bias and adjusted for load fees to examine the predictive qualities of the rating system. Moreover, we use various performance metrics over different time horizons and sample periods. We also compare the predictive qualities of the Morningstar rating system with those of a "naive" predictor: simple historical average monthly returns. The results indicate three main findings. First, low ratings from Morningstar generally indicate relatively poor future performance. Second, for the most part, there is little statistical evidence that Morningstar's highest-rated funds outperform the next-to-highest and median-rated funds. Third, Morningstar ratings do no better than the "naive" predictor for predicting fund performance.

JEL Classifications: G23, G2

Working Paper Series

Date posted: July 31, 1999 ; Last revised: July 31, 1999

Suggested Citation

Blake, Christopher R. and Morey, Matthew R., Morningstar Ratings and Mutual Fund Performance (March 15, 1999). Available at SSRN: http://ssrn.com/abstract=168668 or doi:10.2139/ssrn.168668


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Contact Information

Matthew R. Morey (Contact Author)
Pace University - Lubin School of Business - Department of Finance and Economics ( email )
One Pace Plaza
New York, NY 10038-1502
United States
212-618-6471 (Phone)
HOME PAGE: http://webpage.pace.edu/mmorey/
Christopher R. Blake
Fordham University - Graduate School of Business Administration ( email )
113 West 60th Street
Lowenstein Building
New York, NY 10023
United States
212-636-6750 (Phone)
Feedback to SSRN (Beta)


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