We develop a new measure for the probability of informed trading, called PCP. Using double-sorted portfolios, we find that excess returns increase from low to high PCP portfolios. In regression analysis, the effect of PCP on returns is significantly positive after controlling for illiquidity...

I investigate whether algorithmic trading (AT) affects voluntary disclosure. I predict that AT's advantage over non-algorithmic investors decreases information acquisition. Because investors are less informed, managers increase disclosure to reduce information asymmetry. I find evidence...

Modern equity markets have both fast traders such as dealers, market makers, and high frequency traders and slow traders such as retail clients. We model and show empirically that latency differences allow fast liquidity suppliers to pick off slow liquidity demanders at prices inferior to the...

We analyze and compare the information quality of order flows on the exchange and on off-exchange venues reported to Trade Reporting Facilities. Compared to exchange order flow, we find that off-exchange order flow has significantly lower information quality, including a lower information ratio...

From 1926 to 2016, the average stock return on the day before holiday market closings is up to 15 times the average return on all the other days of the year. We study whether this holiday effect is contingent on the subperiod over which it is estimated and locate the critical break dates that...

We investigate the role of proprietary algorithmic traders (PAT) in facilitating liquidity in a limit order market. Using the order level data from NSE of India, we find that they increase limit order supply following periods of high short-term stock-specific volatility, periods of high...

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...

In this paper, we investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. We find that they rarely use liquidity removing market orders. Their ability to affect the bid-ask spread with order cancellation rates is maximum among three mutually...

An ability to postpone one's execution without penalty provides an important strategic advantage in high-frequency trading. To elucidate competition between traders one has to formulate to a quantitative theory of formation of the execution price from market expectations and quotes. This theory...

I consider a rational expectations model in which individual investors become informed by allocating limited attention to stocks. A single informed individual provides no measurable effects. However, individuals' equilibrium attention allocations are identical. Consequently, there exists an...