We analyze how markets adjust to new information when the reliability of news is uncertain and has to be estimated itself. We propose a Bayesian learning model where market participants receive fundamental information along with noisy estimates of news' precision. It is shown that the efficiency...

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. We decompose bid and ask returns into a common ("efficient return") factor and two market-side-specific components...

This paper provides primary evidence of whether certification via reputable underwriters is beneficial to investors in the corporate bond market. We focus on the high-yield bond market, in which certification of issuer quality is most valuable to investors owing to low liquidity and issuing...

Regulations in the pre-Sarbanes-Oxley era allowed corporate insiders considerable flexibility in timing their trades and engaging in stealth trading, e.g., by executing several trades and reporting them jointly after the last trade. We document that even these lax reporting requirements were...

This study documents economically meaningful and persistent financial advisor fixed effects in target firms' abnormal stock returns shortly prior to takeover announcements. Additional difference-in-differences analyses suggest that advisors are associated with lower pre-bid stock returns after...

In January 2021, the stock price of NASDAQ-listed GameStop Corporation surged more than thirty-fold following frenzied discussions on a Reddit forum. While Social Media-organized retail trading is not a new phenomenon, the magnitude of the resulting swings in GameStop's share price in...

We quantify the short-run and long-run price effect of posting a limit order in an order book market based on a specific high-frequency cointegrated VAR model for quotes and order book depths. By estimating impulse response functions based on data from 30 stocks traded at Euronext Amsterdam we...

We examine intraday market reactions to stock-specific news. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we exploit information on the relevance and the direction of company-specific news. Concise news-implied reactions in returns,...