This study applies an innovative return-based approach to determine the style-shifting activity of mutual funds. Based on daily returns, we measure style-shifting activity as inter-quarterly changes in the style exposures of a fund. In order to test the robustness of style-shifting activity we...

This paper proposes and tests an investment-flow based explanation for three empirical findings about return predictability -- the persistence of mutual fund performance, the "smart money" effect, and stock price momentum. Motivated by prior studies, I construct a measure of demand shocks to...

We analyze the out-of-sample performance of variables shown to forecast future mutual fund alphas. The degree of predictability, as measured by alpha spreads from quintile sorts or by cross-sectional regression slopes, falls by at least half post-sample. These declines appear to be primarily the...

This study introduces an innovative approach to measuring the “style-shifting activity” (SSA) of mutual funds using daily returns. Applying our new measure to a comprehensive sample of 2631 active US equity mutual funds, we show (i) that SSA predicts future performance, especially for...

We show that institutional ownership in equity mutual funds predicts fund performance. Our measure of institutional ownership in mutual funds is directly from institutions' quarterly 13(f) filings so it provides a broader coverage of institutional investment in mutual funds than existing...

We propose and test a methodological framework to examine the relation between mutual fund fees and return predictability. Gil-Bazo and Ruiz-Verdu (2009) drew attention to the puzzling fact that funds with worse before-fee performance charge higher fees. We make another contribution to the...

Final working paper version. "" Published version: The Review of Financial Studies, Volume 31, Issue 7, July 2018, pp. 2499–2552. Past fund performance does a poor job of predicting future outcomes. The reason is noise. Using a random effects framework, we reduce the noise by pooling...

A substantial amount is incurred in ETF transaction costs each year. This paper examines the performance of a vector autoregressive (VAR) model and other naïve models to time trades in 1,350 ETFs over the 2011 to 2017 period. We find varied spread savings for large and retail ETF traders by...

This paper studies the effect of Morningstar ratings on fund flows and fund performance predictability using a proprietary data set of equity funds from Norway. Controlling for a number of variables proxying for fund and firm visibility, we find that fund flows respond asymmetrically to changes...

A great deal of research effort has sought to understand whether fund managers have skill. However, most of this research draws inferences from fund returns attributable to funds that may have been managed by many different managers over the years. In this paper we focus on the fund manager. We...