Error analysis of finite difference scheme for American option pricing under regime-switching with jumps

被引:4
|
作者
Huang, Cunxin [1 ]
Song, Haiming [1 ]
Yang, Jinda [2 ,3 ]
Zhou, Bocheng [4 ]
机构
[1] Jilin Univ, Sch Math, Changchun 130012, Peoples R China
[2] Shenzhen Res Inst Big Data, Shenzhen Int Ctr Ind & Appl Math, Shenzhen 518172, Guangdong, Peoples R China
[3] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
[4] Univ Southern Calif, Dornsife Coll Letters Arts & Sci, Los Angeles, CA 90089 USA
关键词
American option; Regime-switching; Jump-diffusion; Finite difference method; Projection and contraction method; NUMERICAL SCHEME; DIFFUSION; VALUATION; MODEL;
D O I
10.1016/j.cam.2023.115484
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper mainly focuses on evaluating American options under regime-switching jump-diffusion models (Merton's and Kou's models). An efficient numerical method is designed for the concerned problems. The problem of American option pricing under regime-switching jump-diffusion models can be described as a free-boundary problem or a complementarity problem with integral and differential terms on an unbounded domain. By analyzing the relation of optimal exercise boundaries among several options, we truncate the solving domain of regime-switching jump-diffusion options, and present reasonable boundary conditions. For the integral terms of the truncated model, a composite trapezoidal formula is applied, which guarantees that the integral discretized matrix is a Toeplitz matrix. Meanwhile, a finite difference scheme is proposed for the resulting system, which leads to a linear complementary problem (LCP) with a unique solution. Moreover, we also prove the stability, monotonicity, and consistency of the discretization scheme and estimate the convergence order. In consideration of the characteristics of the discrete matrix, a projection and contraction method is suggested to solve the discretized LCP. Numerical experiments are carried out to verify the efficiency of the proposed scheme. & COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:20
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