• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • Tagged with
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Morningstar ratings and performance of mutual funds

Sinha, Partha Sarati January 2013 (has links)
In this study, we examine the predictive power of Morningstar’s new ratings for mutual funds’ future performance and compare its predictive power with four competing predictors. We also examine Morningstar’s new ratings’ predictive power in bull and bear periods. Furthermore, we compare the predictive power of the new and old star-ratings. We perform all these tests for both U.S. and Canadian equity funds. We use a regression model and non-parametric tests in this study. The results suggest Morningstar’s new ratings accurately rank funds and predict out-of-sample performance of only five-star rated complete funds for short- and medium-terms for U.S., and for medium-term only for Canada. Also, predictive power of Morningstar’s new ratings is low compared to four alternative predictors for both countries. Further, the new star ratings accurately predicts for bear period for both markets. The old ratings (new ratings), however relatively predict better for U.S. funds (Canadian funds). / ix, 184 leaves ; 29 cm

Page generated in 0.0979 seconds