Motivated by research in psychology and experimental economics, we assume that investors update their beliefs about an asset's value upon observing the price, but only when the price clearly reveals that others obtained private information that differs from their own private information. In...

We examine how weather conditions near a firm's major institutional investors affect stock market reactions to firms' earnings announcements. We find that unpleasant weather experienced by institutional investors leads to more delayed market responses to earnings news. Moreover, unpleasant...

Research assigns significant share price relevance to linguistic tone in earnings conference calls. Tone is, however, only one facet in the mosaic of the soft information that is disseminated in the interactive conference call setting. We argue that investors exploit further aspects of this soft...

We show that immediate and delayed abnormal returns following earnings announcement surprises differ across market states. Immediate abnormal returns are more sensitive to earnings surprises in down markets, while delayed abnormal returns are less sensitive; underreaction is attenuated in down...

Using hand-collected TV programming data and intra-day trading from China, we compare the trading, liquidity, and returns of on-show and off-show stocks in the same sector. Our difference-in-difference analysis reveals that post-show, off-show stocks experience significant improvements in...

Cryptocurrencies have emerged as an innovative alternative investment asset class, traded in data-rich markets by globally distributed investors. Although significant attention has been devoted to their pricing properties, to-date, academic literature on behavioral drivers remains less...

Using hand-collected TV programming data and intra-day trading data from China, we compare the trading, liquidity, and returns of on-show and off-show stocks in the same sector. Our difference-in-difference analysis reveals that post-show, off-show stocks experience significant improvements in...

We explore analysts' earnings forecast data to improve upon one popular disagreement measure — the analyst forecast dispersion measure — proposed by Diether, Malloy, and Scherbina (2002). Our analysis suggests that changes in the standard deviations of forecasted earnings can work as a...

We document that the stock market's reaction to unscheduled firm-specific news such as credit rating downgrades and 8-K filings is significantly weaker during December as compared to other months. In contrast, the market's reaction to scheduled earnings announcements is not significantly...

Using a unique database this study establishes a relationship between firm-specific investor sentiment and stock price movements around earnings announcements. We find that firm-specific investor sentiment is a key determinant of price adjustment in the context of an earnings surprise....