We propose a stochastic model for the continuous-time dynamics of a limit order book. The model strikes a balance between three desirable features: it can be estimated easily from data, it captures key empirical properties of order book dynamics and its analytical tractability allows for fast...

We study the price impact of order book events - limit orders, market orders and cancelations - using the NYSE TAQ data for 50 U.S. stocks. We show that, over short time intervals, price changes are mainly driven by the order flow imbalance, defined as the imbalance between supply and demand at...

We study the price impact of order book events - limit orders, market orders and cancelations - using the NYSE TAQ data for 50 U.S. stocks. We show that, over short time intervals, price changes are mainly driven by the order flow imbalance, defined as the imbalance between supply and demand at...

Bid and ask sizes at the top of the order book provide information on short-term price moves. Drawing from classical descriptions of the order book in terms of queues and order-arrival rates (Smith et al (2003)), we consider a diffusion model for the evolution of the best bid/ask queues. We...

We consider an asset liquidation problem at the market microstructure level, where we use limit order book information to construct a measure of the instantaneous supply and demand imbalance in the market. In this context, it is optimal to submit sell orders when this imbalance is low,...

We propose a risk neutral approach to forecast the cashflows of music catalogs, based on historical revenue data. We use a discounted cashflows formula to produce reasonable ranges of multipliers for these assets, based on the age of the catalog, the last-twelve-months revenue and the duration...

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...

I define the micro-price to be the limit of a sequence of expected mid-prices and provide conditions for this limit to exist. The micro-price is a martingale by construction and can be considered to be the ‘fair' price of an asset, conditional on the information in the order book. The...

We construct new features based on order book data and separate them into three groups, e.g., time-insensitive features, time-sensitive features and cointegration features. For time-insensitive features, we applied serval transformation on imbalance in different levels, and some other features...

The integration of robust data analysis into the financial markets has allowed firms to develop more efficient and accurate algorithms for predicting the behavior of individual firms. This analysis has been most effective with large and comprehensive data sets. However, the ease of integration...