We focus on the extent of information-driven trading sourced from the behavior of market makers on an emerging market. We develop a methodology based on the Easley et al. (1996) model in order to estimate the extent of informed trading originating from the behavior of Czech market makers on the...

We study fragmentation of equity trading using a model of imperfect competition among exchanges. In the model, increased competition drives down trading fees. However, additional arbitrage opportunities arise in fragmented markets, intensifying adverse selection. These opposing forces imply that...

Research on certain types of institutional order flow has highlighted potential destabilizing effects on market quality related to the fact that these orders can be anticipated by other market participants. Examples include the rebalancing of rules-based indexes and ETFs, including end-of-day...

The complex pattern of the dependence that exists between liquidity, durations and spread in a limit order market is examined. These relationships evolve during the trading day and can change on an hourly basis. Using intraday data for a NASDAQ 100 stock we confirm that limit orders, placed in...

Abstract I demonstrate an important tension between acquiring information and incorporating it into asset prices. As a salient case, I analyze the rise of algorithmic trading (AT), which is typically associated with improved price efficiency. Using a new measure of the information content of...