The data envelopment analysis (DEA) method is a mathematical programming approach to evaluate the relative performance of portfolios. Considering that the risk input indicators of existing DEA performance evaluation indices cannot reflect the pervasive fat tails and asymmetry in return...

The recent introduction into the Italian mutual fund market of Morningstar performance rating of private institutions gives rise to the question of what is the relation between this relative benchmark measure and the other traditional performance measures. This paper provides a comprehensive...

We decompose the conditional expected mutual fund return in five parts. Two parts, selectivity and expert market timing, can be attributed to manager skill, and three to variation in market exposure that can be achieved by private investors as well. The dynamic model that we use to estimate the...

We propose a new method to model hedge fund risk exposures using relatively high frequency conditioning variables. In a large sample of funds, we find substantial evidence that hedge fund risk exposures vary across and within months, and that capturing within-month variation is more important...

This paper proposes a new holding horizon (HH) measure of active management and examines the relation between horizon and manager skill. Our HH measure identifies, in the cross-section, funds with higher future long-term alphas, while reported turnover identifies, in the time-series, when a...

This paper studies investor disagreement in the performance evaluation of equity mutual funds by comparing two existing approaches and estimating its relations with fund characteristics, active management level and fund flows. We find that investors disagree more about the performance of funds...