We propose a novel methodology that jointly estimates the proportions of skilled/unskilled funds and the cross-sectional distribution of skill in the mutual fund industry. We model this distribution as a three-component mixture of a point mass at zero and two components — one negative, one...

This paper proposes a methodological improvement to empirical studies of herd behavior based on investor transactions. By developing a simple model of trading behavior, we show that the traditionally used herding measure produces biased results. As this bias depends on characteristics of the...

The top 5% of actively managed U.S. equity mutual funds in 2012 had greater aggregate TNA than the remaining 95% of funds combined. This skewness in size has implications for mutual fund research: What is true of the average fund is not necessarily true of the average dollar. We explore several...

This study examines whether mutual funds herd in industries and the extent to which such herding impacts industry valuations. Using two herding measures proposed by Lakonishok et al. (1992) and Sias (2004) we document that mutual funds herd in industries. We show that industry herding is not...

We empirically analyze the nature of returns to scale in active mutual fund management. We find strong evidence of decreasing returns at the industry level. As the size of the active mutual fund industry increases, a fund׳s ability to outperform passive benchmarks declines. At the fund level,...

This review surveys the literature on the economics of mutual funds in general, and open-end mutual funds in particular. This mutual fund design has been very successful, though it carries risks that have recently been realized at large scales. It also frustrates the analysis of performance in...

We propose a simple approach to account for commonalities in mutual fund strategies that relies solely on information on fund returns and investment objectives. Our approach augments commonly used factor models with an additional benchmark that represents an equal investment in all same-category...

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 chapter provides a perspective on the rapidly developing literature on investment performance evaluation. I use the stochastic discount factor approach to present and critique current performance measurement techniques in a unified setting. I offer a number of suggestions to improve...

This Paper investigates the impact of ownership patterns on the way the firm is monitored, on the liquidity of its shares, and on its stock price. Building on the literature showing that local mutual funds (funds holding geographically close firms) enjoy superior returns due to private...