We survey the literature on stock return forecasting, highlighting the challenges faced by forecasters as well as strategies for improving return forecasts. We focus on U.S. equity premium forecastability and illustrate key issues via an empirical application based on updated data. Some studies...

Habits and sentiment are key psychological behaviors in asset pricing. This paper studies the interactive impacts of sentiment and habits on asset pricing using the Campbell and Cochrane 1999 habit model as a framework model. A positive sentiment shock emanating from firms is modeled in the...

We survey the textual sentiment literature, comparing and contrasting the various information sources, content analysis methods, and empirical models that have been used to date. We summarize the important and influential findings about how textual sentiment impacts on individual, firm-level and...

In this study we develop a trading strategy that exploits limited investor attention. Trading signals for US S&P 500 stocks are derived from Google Search Volume data, taking a long position if investor attention for the corresponding security was abnormally low in the past week. Our strategy...

Short-sale constrained past-winners and losers both underperform strongly in the first year post-formation, earning market-adjusted returns of −13%, and −17%, respectively. However, constrained winners continue to underperform for the following four years, earning a cumulative...

I set up a model in which two types of ambiguity-averse traders disagree on how to interpret a public signal. When traders first observe contradicting interpretations of the signal, they don't know whether to attribute the clash of opinions to different information processing or to information...

We exploit a unique dataset to study how the information sets of retail and institutional investors evolve over time. In line with theoretical models of rational inattention, investors’ information set is related to their sophistication, with more sophisticated investors tracking more stocks....

How might markets exhibit both short-term reversals and longer-term momentum? Motivated by this question, we develop a dynamic model which includes noise traders and investors who underreact to signals that they do not themselves produce. Our setting implies the following: Return predictability...