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...

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...

We study the relation between institutional shareholdings, private information in stock prices and the cost of capital. Using the probability of informed trading as a proxy for private information, we find that institutional ownership reduces private information in stock prices, and firms with...

This paper develops a novel approach to information-based securities trading by characterizing the hidden state of the market, which varies following a Markov process. Extensive simulation demonstrates that the approach can successfully identify market states and generate measures of...

This paper develops a novel approach to information-based securities trading by characterizing the hidden state of the market, which varies following a Markov process. Extensive simulation demonstrates that the approach can successfully identify market states and generate dynamic measures of...