This paper examines the impact of earnings announcements and earnings forecast revisions on stock returns across markets with different levels of maturity. In each market, the objects of interest are the effects of backward-looking earnings announcement information and forward-looking earnings...

This study examines the unintended effects of a pre-Reg FD practice that gave a broad group of sophisticated market participants 15-minute earlier access to all corporate press releases than the general public. We find that this priority dissemination practice contributed to 22 percent of the...

Macro announcements change the equilibrium riskfree rate. We find that treasury prices reflect part of the impact instantaneously, but intermediaries rely on their customer order flow in the 15 minutes after the announcement to discover the full impact. We show that this customer flow...

We examine large price changes, known as jumps, in the U.S. Treasury market. Using recently developed statistical tools, we identify price jumps in the 2-, 3-, 5-, 10-year notes and 30-year bond during the period of 2005-2006. Our results show that jumps mostly occur during prescheduled...

We compare the optimal trading strategy of an informed speculator when he can trade ahead of incoming news (is "fast"), versus when he cannot (is "slow"). We find that speed matters: the fast speculator's trades account for a larger fraction of trading volume, and are more correlated with...

Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that market participants perfectly know the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning...

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news’ precision. In practice, however, precision is rarely dis- closed. Therefore, we extend standard Bayesian...

Bayesian learning provides the core concept of information processing in financial markets. Typically, it is assumed that market participants know perfectly the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning,...

This paper investigates how heterogeneous sentiments and perspectives expressed in public online media about the abolition of the Chinese presidential term limit in 2018 may have caused a divergence in investor behavior between the U.S. and China. We document that sentiments expressed in social...