We propose and estimate a model of endogenous informed trading that is a hybrid of the PIN and Kyle models. When an informed trader trades optimally, both returns and order flows are needed to identify information asymmetry parameters. Empirical relationships between parameter estimates and...

We develop a model of dynamic limit order markets under asymmetric information that can be simplified enough to be solved analytically. We find that informed traders tend to “make” liquidity in illiquid markets and “take” liquidity from more liquid markets. Time between arrivals of limit...

I study short-sale constraints in a market with asymmetric information. I offer a novel approach endogenizing short-sale constraints by including an asset-borrowing market in my model. Short-sellers have to borrow an asset and therefore reveal information to a lender. The lender trades on her...

We use a proprietary dataset to test the implications of several asymmetric information models on how short-lived private information affects trading strategies and liquidity provision. Our identification rests on information acquisition before analyst recommendations are publically announced....

We analyze whether the information in different parts of the limit order book affect prices differently. We distinguish between slopes of lower and higher levels of the bid and ask sides and include these four slope measures as well as midquote return and trade direction in a vector...

Applying a recently developed approach, the paper estimates the daily arrival rates of buy and sell orders originated from different trading motives for each stock in a sample of NYSE-listed companies. Based on these arrival rates, it shows that stock return tends to continue on consecutive days...

Applying a recently developed approach, the paper estimates the daily arrival rates of buy and sell orders originated from different trading motives for each stock in a sample of NYSE-listed companies. Based on these arrival rates, it shows that stock return tends to continue on consecutive days...

Using high frequency data from the London Stock Exchange (LSE), we investigate the relationship between informed trading and the price impact of block trades on intraday and inter-day basis. Price impact of block trades is stronger during the first hour of trading; this is consistent with the...

This paper investigates the dynamic relation between information-based trading of a stock and its daily return and risk. It develops a theoretical model to motivate the regression specifications for empirical analysis. Based on two samples of stocks, we demonstrate that the expected trading...