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 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...

We examine short-horizon return predictability using a novel proprietary dataset of institutional traders with known identities. We estimate investor-specific short-term trading skill and find that there is pronounced heterogeneity in predicting short-term returns among institutional investors....

This paper investigates the impact of exchange-traded funds (ETFs) on the liquidity of their underlying stockholdings. Using a difference-in-differences methodology for large changes in the index weights of stocks in the S&P 500 and NASDAQ 100 indexes, we find that increases in ETF ownership are...

We propose a simple approach to dynamic multi-period portfolio choice with transaction costs that is tractable in settings with a large number of securities, realistic return dynamics with multiple risk factors, many predictor variables, and stochastic volatility. We obtain a closed-form...

We solve a portfolio choice problem when expected returns, volatilities and trading-costs follow a regime-switching model. The optimal policy trades towards an aim portfolio given by a weighted-average of the conditional mean-variance portfolios in all future states. The trading speed is higher...

We consider a broad class of dynamic portfolio optimization problems that allow for complex models of return predictability, transaction costs, trading constraints, and risk considerations. Determining an optimal policy in this general setting is almost always intractable. We propose a class of...