This paper introduces a new information density indicator to provide a more comprehensive understanding of price reactions to news and, more specifically, to the sources of jumps in financial markets. Our information density indicator, which measures the abnormal amount of noisy “ticker”...

This paper explores the long-standing empirical fact of increased trading volume around news releases through the lens of canonical models of gradual information diffusion and differences of opinion. I use a unique dataset of clicks on news by key finance professionals to distinguish between...

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 exploit exogenous variation in the amount of public information available to banks about a firm to empirically evaluate the importance of adverse selection in the credit market. A 2006 reform introduced by the State Bank of Pakistan (SBP) reduced the amount of public information available to...

We exploit exogenous variation in the amount of public information available to banks about a firm to empirically evaluate the importance of adverse selection in the credit market. A 2006 reform introduced by the State Bank of Pakistan (SBP) reduced the amount of public information available to...

We identify all return leader-follower pairs among individual stocks using Granger causality regressions. Thus-identified leaders can reliably predict their followers' returns out of sample, and the return predictability works at the level of individual stocks rather than industries. Our results...

We show that mutual funds use information acquired by participating in the equity lending market to make portfolio allocation decisions. Using data from German mutual funds on their stock-level lending decisions, we find that funds lending shares are more likely to exit positions relative both...

This study examines the effects of dark and lit market fragmentation around both earnings announcements and earnings surprises. I find that both dark and lit market fragmentation increase around earnings announcements. I further test whether dark and lit fragmentation hinders the level of price...

This paper examines the patterns of trading behaviour, in the period surrounding monetary policy announcements. Utilizing a high-frequency data-set, with broker identifiers enabling classification of trades executed through institutional and retail brokers, I investigate all trades submitted on...