Efficient Second-order Weak Scheme for Stochastic Volatility Models

Benjamin Jourdain, Mohamed Sbai

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Stochastic volatility models can be seen as a particular family of two-dimensional stochastic differential equations (SDE) in which the volatility process follows an autonomous one-dimensional SDE. We take advantage of this structure to propose an efficient discretization scheme with order two of weak convergence. We prove that the order two holds for the asset price and not only for the log-asset as usually found in the literature. Numerical experiments confirm our theoretical result and we show the superiority of our scheme compared to the Euler scheme, with or without Romberg extrapolation.

Original languageEnglish
Title of host publicationProgress in Probability
PublisherBirkhauser
Pages395-410
Number of pages16
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

Publication series

NameProgress in Probability
Volume67
ISSN (Print)1050-6977
ISSN (Electronic)2297-0428

Keywords

  • Discretization schemes
  • Lamperti transform
  • stochastic volatility models
  • weak convergence

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