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...

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...

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...

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...

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...

Security Transaction Tax (STT) was introduced in the Indian capital market in 2004. It is a tax on transaction of equities as well as their derivatives. Despite the reduction in STT over the years, it constitutes a large percentage (next only to brokerage fee) of the total cost of trading. The...

We develop a new likelihood-based approach to signing trades in the absence of quotes. This approach is equally efficient as the existing Markov-chain Monte Carlo methods, but more than ten times faster. It can address the occurrence of multiple trades at the same time and allows for analysis of...

In this paper, we investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. Using the order level data from National Stock Exchange of India, we find that they increase limit order supply following periods of high short-term volatility or periods...

In this paper, we analyze whether the state of the limit order book affects future price movements in line with what recent theoretical models predict. We do this in a linear vector autoregressive system which includes midquote return, trade direction and variables that are theoretically...

I consider a rational expectations framework in which attention-constrained individuals compete against each other and institutions. The model reconciles a set of empirical facts that cannot be simultaneously explained by standard theories: retail trader portfolios are highly correlated, retail...