
Pricing vulnerable options under a jump-diffusion model with fast mean-reverting stochastic volatility
Author(s) -
Wan-Hua He,
Chufang Wu,
Jia-Wen Gu,
WaiKi Ching,
Chi-Wing Wong
Publication year - 2022
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2021057
Subject(s) - laplace transform , stochastic volatility , mean reversion , jump , mathematics , jump diffusion , stochastic differential equation , implied volatility , partial differential equation , volatility (finance) , econometrics , mathematical economics , mathematical analysis , physics , quantum mechanics
In this paper, we propose a model to price vulnerable European options where the dynamics of the underlying asset value and the counter-party's asset value follow two jump-diffusion processes with fast mean-reverting stochastic volatility. First, we derive an equivalent risk-neutral measure and transfer the pricing problem into solving a partial differential equation (PDE) by the Feynman-Kac formula. We then approximate the solution of the PDE by pricing formulas with constant volatility via multi-scale asymptotic method. The pricing formula for vulnerable European options is obtained by applying a two-dimensional Laplace transform when the dynamics of the underlying asset value and the counter-party's asset value follow two correlated jump-diffusion processes with constant volatilities. Thus, an analytic approximation formula for the vulnerable European options is derived in our setting. Numerical experiments are given to demonstrate our method by using Laplace inversion.