Using a unique data set of Nasdaq 100 stocks, we study the daily and intradaily trading patterns of individuals and institutions. Stocks in the top return performance decile are bought in net by institutions (and sold in net by individuals) on the following day 65.2 percent of the time as...

This paper examines the relationship between divergent opinions and post-earnings announcement drift. We provide an improved measure of opinion divergence constructed from the dispersion of order flow across Nasdaq market makers that captures the breadth of divergence that is lost by...

We explore whether silent information (electronic information flows) affects future price, spread and quoted depth levels in the Nasdaq Stock Market. Controlling for the time-series properties of silent information, past price, volume, electronic communications network (ECN) volume, time-of-day...

For NYSE-listed IPOs, limit order submissions and depth relative to volume are unusually low on the first trading day. Initial buy-side liquidity is higher for IPOs with high quality underwriters, large syndicates, low insider sales, and high pre-market demand, while sell-side liquidity is...

We analyze the initial listing decisions of IPOs that qualify for New York Stock Exchange listing. We find that IPOs are more likely to list on the exchange where their industry peers are listed. Further, reverse LBOs and carveouts are more likely to choose the NYSE if the firm or their parent...

Using a unique data set of Nasdaq 100 stocks, we study the daily and intradaily trading patterns of individuals and institutions. Stocks in the top return performance decile are bought in net by institutions (and sold in net by individuals) on the following day 65.2 percent of the time as...

SOES bandits are individual investors who day-trade primarily through Nasdaq's Small Order Execution System (SOES). They attempt to predict short-term price movements of Nasdaq stocks by observing trades and changes in market maker quotes. We find that they usually hold positions for only a few...

We utilize detailed, trader level data to examine the role of speculators during the failure of Amaranth Advisors, Inc. We find that speculators serve as a stabilizing force during this period, maintaining or increasing long positions even while prices are falling. We develop two testable...

From 1997 to March 2000, as technology stocks rose more than five-fold, institutions bought more new technology supply than individuals. Among institutions, hedge funds were the most aggressive investors, but independent investment advisors and mutual funds (net of flows) actively invested the...

We study the behavior of the interbank market before, during and after the 2008 financial crisis. Leveraging recent advances in network analysis, we study two network structures, a correlation network based on publicly traded bank returns, and a physical network based on interbank lending...