Convergence analysis of an IMEX scheme for option pricing under stochastic intensity jump model with mixed fractional Brownian motion

This paper proposes and analyzes an implicit-explicit (IMEX) difference scheme for solving a two-dimensional variable-coefficient partial integro-differential equation (PIDE). The equation arises from option pricing under a stochastic intensity jump model driven by mixed fractional Brownian motion. First, an IMEX scheme is developed to solve the two-dimensional main PIDE along with its associated boundary condition, which is governed by a one-dimensional PIDE. The second-order convergence rate of the scheme is rigorously established for the boundary PIDE in the discrete \(H^{1}\) -norm and for the main PIDE in the discrete \(L^{2}\) -norm. Finally, numerical experiments are conducted to validate the theoretical results.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2026-09-04
DOI
https://doi.org/10.1186/s13662-026-04125-9
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

Convergence analysis of an IMEX scheme for option pricing under stochastic intensity jump model with mixed fractional Brownian motion

Zhengguang Shi, Shuang Zhao, Leixiao Huang
Advances in Continuous and Discrete Models
Stochastic processes and financial applications
article

Convergence analysis of an IMEX scheme for option pricing under stochastic intensity jump model with mixed fractional Brownian motion

Zhengguang Shi, Shuang Zhao, Leixiao Huang
article en

Abstract

This paper proposes and analyzes an implicit-explicit (IMEX) difference scheme for solving a two-dimensional variable-coefficient partial integro-differential equation (PIDE). The equation arises from option pricing under a stochastic intensity jump model driven by mixed fractional Brownian motion. First, an IMEX scheme is developed to solve the two-dimensional main PIDE along with its associated boundary condition, which is governed by a one-dimensional PIDE. The second-order convergence rate of the scheme is rigorously established for the boundary PIDE in the discrete \(H^{1}\) -norm and for the main PIDE in the discrete \(L^{2}\) -norm. Finally, numerical experiments are conducted to validate the theoretical results.

Advances in Continuous and Discrete Models
Sichuan Normal University (CN)
Openalex Percentile: Top 7%
Stochastic processes and financial applications
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