Estimating Greeks in Simulating Lévy-Driven Models

Paul Glasserman, Zongjian Liu

Abstract

ABSTRACT

We develop methods for estimating price sensitivities by simulation for Lévydriven models. The methods combine pathwise derivatives and likelihood ratio method estimators with alternative approaches to approximating and simulating Lévy processes. We develop estimators based on exact sampling of increments, time-change representations of Lévy processes, saddlepoint approximations to the score functions of the increments, compound Poisson approximations and compoundPoisson approximations with Brownian approximations to small jumps. We discuss the relative merits of these various alternatives, both in theory and in practice, and we illustrate their use through examples.