English

Linear stochastic volatility models

Pricing of Securities 2013-05-16 v2 Computational Finance

Abstract

In this paper we investigate general linear stochastic volatility models with correlated Brownian noises. In such models the asset price satisfies a linear SDE with coefficient of linearity being the volatility process. This class contains among others Black-Scholes model, a log-normal stochastic volatility model and Heston stochastic volatility model. For a linear stochastic volatility model we derive representations for the probability density function of the arbitrage price of a financial asset and the prices of European call and put options. A closed-form formulae for the density function and the prices of European call and put options are given for log-normal stochastic volatility model. We also obtain present some new results for Heston and extended Heston stochastic volatility models.

Keywords

Cite

@article{arxiv.0909.4765,
  title  = {Linear stochastic volatility models},
  author = {Jacek Jakubowski and Maciej Wisniewolski},
  journal= {arXiv preprint arXiv:0909.4765},
  year   = {2013}
}

Comments

20 pages

R2 v1 2026-06-21T13:50:43.544Z