I use machine learning methods to identify stock characteristics important for predicting both stock returns and mutual fund performance. My customized machine learning models can successfully predict both stock returns and fund performance, and a nonlinear model delivers better performance....

The 52-week high share price has been shown by George and Hwang (2004) to carry significant predictive ability for individual stock returns, dominating other common momentum-based trading strategies. This study examines the performance of trading strategies for mutual funds based on (1) an...

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 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...

This study uses U.S. closed-end funds to investigate whether the realized component of fair value earnings conveys information about future fund and benchmark market performance and whether the market impounds this predictive information into fund share prices. We find that the realized...

One of the most crucial decisions for investors and plan sponsors is the selection of funds among the thousands of available alternatives. We stress that an investor first needs to specify a target alpha, i.e., the expected fund return in excess of a benchmark, and that the target alpha...

We use a holdings-based attribution model to disaggregate the benchmark-adjusted returns to U.S. equity mutual funds into components that reflect persistent segment tilts, the timing of segment returns, and stock selection relative to their benchmarks. We find that large-cap funds add value by...

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...