We model a financial market where privately informed investors trade in a limit order book monitored by professional liquidity providers. Price competition between informed limit order submitters and professional market makers allows us to capture tradeoffs between informed limit and market...

Short sellers actively exploit trading opportunities from insider sales. We argue that, in response to concern about potential order flow information leakage, insiders strategically disguise their order flows to escape trading competition. Our model predicts that, when short sellers are...

We train a machine learning method on a class of informed trades to develop a new measure of informed trading, the Informed Trading Intensity (``ITI''). ITI increases before earnings, M&A, and news announcements, and has implications for return reversal and asset pricing. ITI is effective...