We investigate the information source of active U.S. equity mutual funds’ value added using 234 public asset pricing anomalies. On average, mutual funds add value through their positive exposures to anomalies based on market information (e.g., momentum and liquidity risk) and lose value...

Using a search-based trading model, we show that either an illiquidity price premium or discount can arise between two assets with identical fundamentals. Liquidity between the two assets diverges endogenously in a self-reinforcing manner as trading is concentrated in the more liquid asset. When...

We classify asset pricing anomalies into those that exacerbate mispricing (build-up anomalies) and those that resolve it (resolution anomalies). To this end, we estimate the dynamics of price wedges for a large number of well-known anomaly portfolios in the factor zoo and map them to firm-level...

We propose a new method of testing asset pricing models that relies on using quantities rather than prices or returns. We use the capital flows into and out of mutual funds to infer which risk model investors use. We derive a simple test statistic that allows us to infer, from a set of candidate...