Using the first and recently available universe of dark pool trading in the U.S. from FINRA, we document trading patterns around scheduled and unscheduled corporate information events. We find that there is more trading in dark pools in the week of earnings announcement as well as analyst...

This paper examines how the sentiment of firm-specific news affects CDS spreads conditional on the degree of information asymmetry. Using a large set of news releases, we document a strong negative relationship between the sentiment of firm-specific news and CDS spreads. More importantly,...

We investigate how short sellers strategically exploit the liquidity generated by the arrival of ambiguous information – i.e. information likely to cause disagreement in interpretation. Using a sample of newspaper articles, media newswires, and press releases, we construct a measure of...

We show an ambivalent role of high-frequency traders (HFTs) in the Eurex Bund Futures market around high-impact macroeconomic announcements and extreme events. Around macroeconomic announcements, HFTs serve as market makers, post competitive spreads, and earn most of their profits through...

We classify a unique and comprehensive dataset of corporate press releases into topics and study the market reaction to various types of news. While confirming prior findings regarding strong stock price responses to financial news, we also document significant reactions to news about corporate...

We study the real-time characteristics and drivers of jumps in option prices. To this end, we employ high frequency data from the 24-hour E-mini S&P 500 options market. We find that option prices do not jump simultaneously across strikes and maturities and are uncorrelated with jumps in the...

This paper analyses the informational role of the trading activity when jumps occur in the US Treasury market. As jumps mark the arrival of new information to the market, we explore the contribution of jumps in reducing the informational asymmetry. We identify jumps using a combination of jump...

This paper finds that the majority of stock price movements remain unexplained after controlling for both public and private information. This suggests that economists' inability to explain asset price movements is the result of either noise or naive asset pricing models.

We study a dynamic voluntary disclosure setting where the manager's information and the firm's value evolve over time. The manager is not limited in her disclosure opportunities but disclosure is costly. The results show that the manager discloses even if this leads to a price decrease in the...

Revisions of consensus forecasts of macroeconomic variables positively predict announcement day forecast errors, whereas stock market returns on forecast revision days negatively predict announcement day returns. A dynamic noisy rational expectations model with periodic macroeconomic...