We fit multivariate Hawkes processes to tick data and analyse clustering and cross-excitation patterns across asset classes.
An optimal control formulation of the market-making problem is studied, accounting for inventory costs and informed order flow.
We examine rough fractional Brownian motion-driven volatility models and compare their fit to S&P 500 implied volatility surfaces.
A continuous-time model for the evolution of the limit order book is proposed, capturing price impact as a function of order flow imbalance.
We study the calibration of Heston and SABR models to observed market prices of vanilla options, using nonlinear least-squares methods with regularisation.