制度转换模型中美式期权估值的原始二元有源集方法:数值解与收敛分析

Xin Wen, Haiming Song, Yutian Li, Zihan Gao
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引用次数: 0

摘要

在本研究中,我们利用一个由无限域内抛物线变分不等式复杂系统定义的模型,探讨了受制度转换影响的美式期权所带来的估值挑战。通过应用先验估计和引入适当的人为边界条件,初始定价模型被转化为有界矩形域中的线性互补问题(LCP)。为了将线性互补问题离散化,我们采用了有限差分法 (FDM),并使用原始双主动集 (PDAS) 策略来处理由此产生的离散化系统。PDAS 方法的优势在于它能同时确定期权价格和最优行权边界。本文进行了广泛的收敛性分析,评估了与 FDM 相关的截断误差和 PDAS 的迭代误差。本文进行了全面的数值模拟,验证了该方法的准确性和高效性,并强调了该方法在金融数学领域的巨大应用潜力。
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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A primal-dual active set approach to the valuation of American options in regime-switching models: numerical solutions and convergence analysis

In this study, we explore the valuation challenge posed by American options subject to regime switching, utilizing a model defined by a complex system of parabolic variational inequalities within an infinite domain. The initial pricing model is transformed into a linear complementarity problem (LCP) in a bounded rectangular domain, achieved through the application of a priori estimations and the introduction of an appropriate artificial boundary condition. To discretize the LCP, we employ a finite difference method (FDM), and address the resulting discretized system using a primal-dual active set (PDAS) strategy. The PDAS approach is particularly advantageous for its ability to concurrently determine the option’s price and the optimal exercise boundary. This paper conducts an extensive convergence analysis, evaluating both the truncation error associated with the FDM and the iteration error of the PDAS. Comprehensive numerical simulations are performed to validate the method’s accuracy and efficiency, underscoring its significant potential for application in the field of financial mathematics.

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来源期刊
自引率
11.50%
发文量
352
期刊介绍: Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics). The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance.
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