We propose a model of dynamic trading where a strategic high frequency trader receives an imperfect signal about future order flows, and exploits his speed advantage to optimize his quoting policy. We determine the provision of liquidity, order cancellations, and impact on low frequency traders...

We analyze the consequences for liquidity provision of competing market makers operating at high frequency. Competition increases overall liquidity and deters the fast market maker's use of order flow signals. Using various liquidity metrics, we find that the market maker provides more liquidity...

We propose a model of market making where a strategic high frequency trader exploits his speed and informational advantages to place quotes that interact with the orders of low frequency traders. We characterize the optimal market making policy of the high frequency trader analytically. Our...

We propose a mean-variance framework to analyze the optimal quoting policy of an option market maker. The market maker's profits come from the bid-ask spreads received over the course of a trading day, while the risk comes from uncertainty in the value of his portfolio, or inventory. Within this...

We use a novel dataset to examine the impact of exposing institutional orders to electronic liquidity providers (ELPs). We present empirical evidence that marketable pieces of large parent orders are routed to ELPs, seemingly to avoid paying liquidity fees on exchanges. This routing decision...

I study the presence of order anticipation strategies by examining predictable patterns in large order trades. I construct three simple signals based on child-order execution patterns and find empirical evidence that stronger signals are correlated with higher execution costs. I use the SEC's...