A novel numerical scheme for Black-Scholes PDEs modeling pricing securities

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2025-04-14 DOI:10.1016/j.camwa.2025.04.003
Sachin Kumar, Srinivasan Natesan
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Abstract

This article introduces an efficient numerical method for solving the Black-Scholes partial differential equation (PDE) that governs European options. The methodology employs the backward Euler scheme to discretize the time derivative and incorporates the non-symmetric interior penalty Galerkin method for handling the spatial derivatives. The study aims to determine optimal order error estimates in the L2-norm and discrete energy norm. In addition, the proposed method is used to determine Greeks in option pricing. We validate the theoretical results presented in this work with numerical experiments.
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Black-Scholes偏微分方程模拟证券定价的一种新的数值格式
本文介绍了一种高效的数值方法,用于求解支配欧式期权的布莱克-斯科尔斯偏微分方程(PDE)。该方法采用后向欧拉方案来离散时间导数,并结合非对称内部惩罚 Galerkin 方法来处理空间导数。研究旨在确定 L2 准则和离散能量准则中的最优阶误差估计。此外,提出的方法还用于确定期权定价中的希腊。我们通过数值实验验证了本研究提出的理论结果。
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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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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