Disclosure of insider trading are ambiguous pieces of information, as liquidity traders may not assess whether the trades are motivated by significant privileged information related to the true share value. This paper establishes an algorithm, relying on Bayesian inference that represents the...

We present evidence of investors underreacting to the absence of events in financial markets. Routine-based insiders strategically choose to be silent when they possess private information not yet reflected in stock prices. Consistent with our hypothesis, insider silence following routine sell...

Are high–frequency traders (HFTs) informed? To address this question, we examine HFTs' activity in the call auction environment, where speed-related trading is limited and signal processing capacity becomes more relevant. To model the call market, we consider the Kyle (1989) rational...

We examine how shocks to perceived accounting quality lead to market prices that reflect an increased weight on prior disclosures of insider trading. We use a sample of firms where industry peers have restated financial information and find that the short-term market reaction to announcements of...

Government agencies routinely allow pre-release access to information to accredited news agencies under embargo agreements. Using high frequency data, we find evidence consistent with informed trading during embargoes of the Federal Open Market Committee's scheduled announcements. The E-mini S&P...

We investigate whether senior officers use accrual-based earnings management to meet voluntary earnings disclosure (i.e., management earnings forecasts) before selling or buying their own shares when they have private information. This study is the first to use the differences in timing of...

Hard-to-value stocks provide opportunities for managers to exploit their informational advantage through trading on their firms' and their own personal accounts. In contrast to the prediction that such transactions reflect private information about future events, they are contrarian and heavily...

This paper investigates the role of information precision in IPO pricing. The model shows that more precise information will exert more influence on the offer price. In strong support of the model, I find that the proportion of the industry return during the waiting period that is incorporated...

Using a unique dataset of dealer-level trading data in bookbuilding IPOs, we find strong evidence that lead underwriter trades in IPO firms are significantly related to subsequent IPO abnormal returns. This relation is concentrated among issues in which underwriters' information advantage is...