We attempt to explain post-earnings announcement drift using the newly documented refinement of the disposition effect, which is the V-shaped net selling propensity (VNSP). Using a novel data set containing stock-level information on the trading activities of different types of investors, we...

Option market activity increases by more than 10 percent in the four days before quarterly earnings announcements. We show that the direction of this pre-announcement trading foreshadows subsequent earnings news. Specifically, we find option traders initiate a greater proportion of long (short)...

This study investigates individual and institutional trading in competing firms around earnings announcements. We find individual and institutional informed trading in competing firms, which is dominant prior to earnings announcements. Magnitude of institutional (individual) net order flow...

We examine how firms' tweeting behavior affects earnings-news returns. Tweeting about earnings news increases the magnitude of announcement returns, particularly when the earning surprise is small and positive and when the firm is less visible as measured by firm size or analyst coverage. We...

This study investigates individual and institutional trading activities before and after earnings announcements to infer informed trading in competing firms. We find evidence for individual and institutional informed trading in competing firms before earnings announcements. Magnitude of...

This article develops an agent-based model of security market pricing process, capable to capture main stylised facts. It features collective market pricing mechanisms based upon evolving heterogeneous expectations that incorporate signals of security issuer fundamental performance over time....

We test whether the well-documented post-earnings-announcement drift is a manifestation of an investor underreaction or overreaction to extremely good or bad earnings news. Using the market reaction to extreme earnings surprises (i.e., SUE) in quarter Qt as a reference point, we show that firms...

I study how investor horizons affect the price reaction of the stocks to earnings announcements. In the theory, short-run investors trade frequently, while long-run traders hold and trade on fundamentals. The model predicts that the reaction to an earnings announcement is shifted downward for...

This paper develops a new framework to study investor attention in real time at high frequency. Using information retrieval approach, we construct a proxy for attention from the Twitter messages of financial experts, hedge funds and portfolio managers around the release of unscheduled news...