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Morningstar Mutual Fund Ratings: The Age of Funds and the Power of Ratings

This project has two phases. The first phase analyzes the relationship between fund age and the associated overall Morningstar rating. The ratings for each fund are based upon an aggregation of the 3-year, 5-year, and 10-year risk-adjusted return. The 3-year number receives a 20 percent weighting, the 5-year a 30 percent weighting, and the 10-year a 50 percent weighting. However, if a fund has less than 10 years of returns but more than 5 years, the 5-year number receives a 60 percent weighting and the 3-year number receives a 40 percent weighting. Furthermore, if a fund has less than 5 years but more than 3 years of returns, it receives a 100 percent weighting on its 3-year risk-adjusted return. If the fund scores in the top 10 percent of its investment category it receives a rating of 5 stars; if the fund falls in the next 22.5 percent it receives 4 stars; if it falls in the middle 35 percent it receives 3 stars; if it falls in the next 22.5 percent it receives 2 stars; and funds in the bottom 10 percent receive 1 star.

The second research topic investigates the power of the Morningstar ratings in determining fund flows. The time period will be October 1991 to the end of 1999. The Morningstar data contain information on the net assets of individual funds. Professor Morey will concentrate on funds in the Domestic Equity category. This will be the first study to determine the effects of ratings and ratings changes on fund flows. Professor Morey also wants to explore the question of the impact of large flows on subsequent fund returns.

Grants in Progress
 
Attention, Anxiety, Advice, and Portfolio Choice
Andrew Caplin, New York University
John Leahy, Boston University
John Ameriks, TIAA-CREF Institute
 
Taxes, Estate Planning and Financial Theory: New Insights and Perspectives
Chester Spatt, Carnegie Mellon University
Robert Dammon, Carnegie Mellon University
Harold Zhang, University of North Carolina at Chapel Hill
 
Integration of the Life Annuity and Long-term Care Insurance: Theory, Evidence, Practice, and Policy
Christopher Murtaugh, Center for Home Care Policy and Research, Visiting Nurse Service of New York
Brenda Spillman, Urban Institute
Mark Warshawsky, TIAA-CREF Institute
 
Bond Portfolio Immunization: Existence of Solutions, Second Order Conditions and Optimization
Olivier de la Grandville, University of Geneva
Anthony Pakes, University of Western Australia
 
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