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...

We use a comprehensive panel of NYSE order book data to show that the liquidity and quoting efficiency improvements associated with algorithmic trading (AT) are attributable to enhanced monitoring by liquidity providers. We find that variation in liquidity provider monitoring uniquely explains...