Unusually high aggregate stock trading volume in one week predicts higher excess market returns in the following week, especially when accompanied by high market volatility. This predictive relation is robust across alternative measures of aggregate trading volume. In out-of-sample forecasting...

We investigate the role of extreme positive payoffs in the distribution of monthly fund returns in investors' mutual fund preferences. We document a positive and significant relationship between the maximum style-adjusted monthly return (MAX) and future fund flows. The relationship is robust to...

We study the liquidity exposures of value and growth stocks over business cycles. In worst times, value stocks have higher liquidity betas than in best times, while the opposite holds for growth stocks. Small value stocks have higher liquidity exposures than small growth stocks in worst times,...

We examine the performance of mutual funds whose managers simultaneously manage portfolios with performance-based incentive fees for three account types: mutual funds, hedge funds, and separate accounts. Importantly, our dataset is free of selection bias because it is hand collected from...

Firm-level monthly short interest is positively and significantly related to the returns of firms that compete in the same product markets. This finding is robust to standard controls and cannot be explained by industry momentum, industry lead-lag relationships, or industry information spillover...

We document a positive relation between the volatility of liquidity and expected returns. Our measure of liquidity is based on Amihud (2002) and its volatility is measured using daily data. We show that the volatility of liquidity effect is different from previously documented liquidity risks:...

We examine the relative weights hedge fund investors attach to past information in the fund selection process. The weighting scheme appears inconsistent with econometric forecasting models that predict fund returns, alphas or Sharpe ratios. In particular, investor flows are highly sensitive to...