We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement...

In this paper, we characterize the relative importance of two sources of fundamental market-wide news—large firms’ earnings announcements and macroeconomic releases. Our investigation is motivated by growing concerns in the financial community about the increasing impact of individual...

We provide evidence that an option implied volatility-based measure predicts future absolute excess returns of the underlying stock around earnings announcements and annual meetings of shareholders, even after controlling for the realized stock return volatility shortly before these information...

We document a significant positive relation between earnings announcement idiosyncratic volatility and stock returns in the 10-day window before future earnings announcements. The average of risk-adjusted return differences between stocks with the highest earnings announcement idiosyncratic...

Prior research documents that volatility spreads predict stock returns. If the trading activity of informed investors is an important driver of volatility spreads, then the predictability of stock returns should be more pronounced during major information events. This paper investigates whether...

This study seeks to determine whether earnings announcements pose non-diversifiable volatility risk that commands a risk premium. We find that investors anticipate some earnings announcements to convey news that increases market return volatility and pay a premium to hedge this non-diversifiable...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...

We explore the impact of earnings announcements on equity markets, using intraday price data for the DJIA stocks. We find on a daily basis, an abnormally high volatility only within one day following the overnight announcement. On an intraday basis, a striking volatility spike stands out during...

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....