Based on intraday data for a large cross section of individual stocks, we find that the risk component of stock returns exhibits strong intraday momentum, and this pattern holds from previous market close to 10:00, and every half hour since then until market close at 16:00. Strikingly, the...

We propose an extension of the Fama-MacBeth regression by allowing stock returns to respond differently to firm characteristics. This heterogeneous model can potentially capture non-linearity and interactions. Empirical, applying it to a common set of fifteen firm characteristics, we find that...

Using a large hand-collected dataset, we provide novel evidence on the additional information embedded in the designs and graphs of financial reports. We find that firms that add graphic financial reports experience a positive 2.7% abnormal returns in the following 3 to 6 months. The finding...

Whether or not anomalies are due to mispricing or risk is an important question. We examine the causal effect of a novel shock to short selling, the Job and Growth Tax Relief Reconciliation Act (JGTRRA) of 2003, on an extensive set of 182 anomalies. We find that anomalies become stronger after...

We examine the relation between firms’ environmental, social, and governance (ESG) performance and aggregate stock market returns. Based on 38 ESG scores, we construct a market-level ESG index and find its strong positive predictive power on the market returns both in- and out-of-sample, and...

In this paper, we document that an application of a moving average strategy of technical analysis to portfolios sorted by volatility generates investment timing portfolios that often outperform the buy-and-hold strategy substantially. For high volatility portfolios, the abnormal returns,...

In practice, traders, such as high-frequency and day traders, rely in part or primarily on moving averages to predict market directions, but their equilibrium impact is unknown. This paper presents a model to analyze how such technical traders compete trading with informed investors and how they...