We study the dynamics of fund manager ownership for a sample of U.S. equity mutual funds from 2005 to 2011. We find that ownership changes positively predict changes in future risk-adjusted fund performance. A one-standarddeviation increase in ownership predicts a 1.6 percent increase in alpha...

Why do investors entrust active mutual fund managers with large sums of money while receiving negative excess returns on average? Our explanation is that investors have a coarser information set than fund managers which leads them to systematically misinterpret managers' skill. When investors...

Active fund managers are skilled and, on average, have used their skill to generate about $3.2 million per year. Large cross-sectional differences in skill persist for as long as ten years. Investors recognize this skill and reward it by investing more capital in funds managed by better...

We investigate the relationship between a mutual fund’s variation in systematic risk factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)’s four factor model to capture risk factor variation, we find that funds with volatile risk factor exposures...

We examine how active share—the extent to which a portfolio's holdings differ from its benchmark's holdings—affects the performance, risk management, and flows of bond mutual funds. Measuring active share at both the issue and issuer level, the average bond fund has an issue-level...

In this paper we examine the differences in aggregate ownership of stocks held by passive equity funds and active equity funds and in the characteristics of stocks held by these funds. We find that holdings of passive funds do not mirror the holdings of active funds. There are systematic...

We provide the first in-depth examination of exchange-traded funds (ETFs) within actively managed mutual fund (AMMF) portfolios to better understand why AMMFs make substantial investments in passive ETFs. We examine the association between holding ETF positions and AMMF performance, as well as...

We uncover a negative relation between herding behavior and skill in the mutual fund industry. Our new, dynamic measure of fund-level herding captures the tendency of fund managers to follow the trades of the institutional crowd. We find that herding funds underperform their antiherding peers by...

When assessing a fund manager's skill, sophisticated investors will consider all factors (priced and unpriced) that explain cross-sectional variation in fund performance. We investigate which factors investors attend to by analyzing mutual fund flows as a function of recent returns decomposed...

We investigate the relationship between a mutual fund's variation in factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)'s four factor model to capture factor variation, we find that funds with volatile factor exposures underperform funds with...