29 research outputs found

    Financial Stability Monitoring

    Full text link

    Mutual fund performance and governance structure: The role of portfolio managers and boards of directors, Working paper

    Full text link
    particularly thank Paul Kaplan (for providing manager data) and Lorene Kennard (for providing help in finding missing manager data) at Morningstar, Robin Thurston and Lucas Garland (for providing fund director data) at Lipper, Thomson Wiesenberger (for providing manager data), and the Center for Institutional Investment Management at the School of Business of SUNY at Albany (for providing Morningstar On-Disc and Principia CDs). Part of this work was completed while Ding was at Wharton Research Data Services (WRDS). Wermers gratefully acknowledges financial support from the Divisio

    False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.

    Full text link
    Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they do not adequately account for the presence of lucky funds. Lucky funds have significant estimated alphas, while their true alphas are equal to zero. To address this issue, this paper quantifies the impact of luck with new measures built on the False Discovery Rate (FDR). These FDR measures provide a simple way to compute the proportion of funds with genuine positive or negative performance as well as their location in the cross-sectional alpha distribution. Using a large cross-section of U.S. domestic-equity funds, we find that about one fifth of the funds in the population truly yield negative alphas. These funds are dispersed in the left tail of the alpha distribution. We also find a small proportion of funds with truly positive performance, which are concentrated in the extreme right tail of the alpha distribution.info:eu-repo/semantics/publishe

    False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.

    Full text link
    Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they do not adequately account for the presence of lucky funds. Lucky funds have significant estimated alphas, while their true alphas are equal to zero. To address this issue, this paper quantifies the impact of luck with new measures built on the False Discovery Rate (FDR). These FDR measures provide a simple way to compute the proportion of funds with genuine positive or negative performance as well as their location in the cross-sectional alpha distribution. Using a large cross-section of U.S. domestic-equity funds, we find that about one fifth of the funds in the population truly yield negative alphas. These funds are dispersed in the left tail of the alpha distribution. We also find a small proportion of funds with truly positive performance, which are concentrated in the extreme right tail of the alpha distribution.Mutual Fund Per formance; False Discovery Rate; Multiple Testing.
    corecore