A compact finite difference scheme for solving fractional Black-Scholes option pricing model

In this work, we introduce an efficient compact finite difference (CFD) method for solving the time-fractional Black-Scholes (TFBS) option pricing model. The time-fractional derivative is described using Caputo-Fabrizio (C-F) fractional derivative, and a compact finite difference method is employed to discretize the spatial derivative. The main contribution of this work is to develop a high-order discrete scheme for the TFBS model. In the numerical scheme, we have developed a convergence rate of $O(\tau ^{2} + h^{4})$ , where τ denotes the temporal step and h represents the spatial step. To verify the effectiveness of the proposed method, we have conducted stability analysis and error estimation using the Fourier method. Furthermore, a series of numerical experiments were conducted, and the numerical results demonstrated the theoretical order of accuracy and illustrated the effectiveness of the proposed method.

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Publication Details

Journal
Journal of Inequalities and Applications
Published
2025-03-18
DOI
https://doi.org/10.1186/s13660-025-03261-2
Citations
29
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
64.02

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article

A compact finite difference scheme for solving fractional Black-Scholes option pricing model

Yan Chen, Xindong Zhang, Leilei Wei, Yuelong Feng
29 citations
Journal of Inequalities and Applications
Stochastic processes and financial applications
64.02
article

A compact finite difference scheme for solving fractional Black-Scholes option pricing model

Yan Chen, Xindong Zhang, Leilei Wei, Yuelong Feng
article en
29 citations

Abstract

In this work, we introduce an efficient compact finite difference (CFD) method for solving the time-fractional Black-Scholes (TFBS) option pricing model. The time-fractional derivative is described using Caputo-Fabrizio (C-F) fractional derivative, and a compact finite difference method is employed to discretize the spatial derivative. The main contribution of this work is to develop a high-order discrete scheme for the TFBS model. In the numerical scheme, we have developed a convergence rate of $O(\tau ^{2} + h^{4})$ , where τ denotes the temporal step and h represents the spatial step. To verify the effectiveness of the proposed method, we have conducted stability analysis and error estimation using the Fourier method. Furthermore, a series of numerical experiments were conducted, and the numerical results demonstrated the theoretical order of accuracy and illustrated the effectiveness of the proposed method.

Journal of Inequalities and ApplicationsVol. 2025(1)
Xinjiang Normal University (CN), Guizhou University of Finance and Economics (CN), Henan University of Technology (CN), Xinjiang Institute of Engineering (CN)
Natural Science Foundation of Xinjiang Province
Openalex Percentile: Top 0%
Stochastic processes and financial applications
64.02
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A compact finite difference scheme for solving fractional Black-Scholes option pricing model — Yan Chen, Xindong Zhang, et al. · Journal of Inequalities and Applications (2025) | TGRS Research Map | TGRS