Conventional short-term reversal strategies exhibit dynamic exposures to the Fama and French (1993) factors. We develop a novel reversal strategy based on residual stock returns that does not exhibit these exposures and consequently earns risk-adjusted returns that are twice as large as those of...

We show that multifactor performance estimates for mutual funds suffer from systematic biases, and argue that these biases are a result of miscalculating the factor premiums. Because the factor proxies are based on hypothetical stock portfolios and do not incorporate transaction costs, trade...

High (low) quality stocks generate anomalously high (low) returns above and beyond expected returns based on betas, market sizes, valuations, and momentum. We provide a comprehensive overview of commonly used quality definitions and test their predictive power for stock returns. We show that...

Using monthly return data of more than 6,400 US equity mutual funds we investigate short-run performance persistence over the period 1984-2003. We sort funds into rank portfolios based on past performance, and evaluate the portfolios' out-of-sample performance. To cope with short ranking...

Linear regression is a powerful tool for investigating the relationships between multiple variables by relating one variable to a set of variables. It can identify the effect of one variable while adjusting for other observable differences. For example, it can analyze how wages relate to gender,...