Analytical Investigation of Time-Fractional Black-Scholes Equations with Caputo Derivatives using the Yang Perturbation Transform Method

Fractals Pub Date : 2026-10-15 DOI:10.1142/s0218348x26501641
Jinxing Liu,Jingmei Peng,Huailing Luo,Huaping Xiao
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Abstract

The Black-Scholes model plays a significant role in the analysis of financial derivatives and option pricing. However, the classical framework may not fully capture the memory and hereditary effects observed in financial markets. This study investigates a time-fractional Black-Scholes equation involving the Caputo fractional derivative and develops a semi-analytical approach for its solution. The proposed scheme transforms the governing fractional differential equation into a recursive algebraic formulation without requiring temporal or spatial discretization, linearization, or restrictive assumptions. The effectiveness of the proposed approach is demonstrated through several illustrative examples, and the resulting solutions are compared with the corresponding classical solutions. Furthermore, the numerical results and graphical analyses demonstrate the accuracy and effciency of the proposed method, while the rapid convergence of the resulting series confirms its consistency and computational effectiveness.
用Yang摄动变换方法分析含Caputo导数的时间分数阶Black-Scholes方程
Black-Scholes模型在金融衍生品和期权定价分析中起着重要的作用。然而,经典框架可能无法完全捕捉到在金融市场中观察到的记忆和遗传效应。本文研究了一个涉及卡普托分数阶导数的时间分数阶Black-Scholes方程,并开发了其解的半解析方法。所提出的方案将控制分数阶微分方程转换为递归代数公式,而不需要时间或空间离散化,线性化或限制性假设。通过几个实例验证了该方法的有效性,并将所得解与相应的经典解进行了比较。数值结果和图形分析证明了所提方法的准确性和有效性,所得到序列的快速收敛性证实了所提方法的一致性和计算有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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