Performance Measurement of Mutual Funds, Hedge Funds, and Institutional Accounts

This review describes several important recent advances in the measurement of the performance of actively managed portfolios. For returns-based performance evaluation we discuss several innovations, such as conditional performance evaluation, Bayesian approaches, and a new multiple testing approach-the false-discovery rate. For portfolio holdings based performance evaluation, our discussion ranges from extensions of the standard Daniel, Grinblatt, Titman, and Wermers (DGTW) stock return adjustment procedure to conditional holdings-based approaches. Applications of these approaches in the mutual fund, hedge fund, and institutional account universes are presented.