An efficient variable step-size method for options pricing under jump-diffusion models with nonsmooth payoff function

被引:14
作者
Wang, Wansheng [1 ]
Mao, Mengli [1 ]
Wang, Zheng [1 ]
机构
[1] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
来源
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE | 2021年 / 55卷 / 03期
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Partial integro-differential equations; implicit– explicit midpoint formula; options pricing; jump-diffusion model; finite difference method; stability; error estimates; IMPLICIT EXPLICIT METHODS; AMERICAN OPTIONS; NUMERICAL VALUATION; DIFFERENCE METHOD; SCHEME; STABILITY; EQUATIONS; ERROR;
D O I
10.1051/m2an/2021012
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We develop an implicit-explicit midpoint formula with variable spatial step-sizes and variable time step to solve parabolic partial integro-differential equations with nonsmooth payoff function, which describe the jump-diffusion option pricing model in finance. With spatial differential operators being treated by using finite difference methods and the jump integral being computed by using the composite trapezoidal rule on a non-uniform space grid, the proposed method leads to linear systems with tridiagonal coefficient matrices, which can be solved efficiently. Under realistic regularity assumptions on the data, the consistency error and the global error bounds for the proposed method are obtained. The stability of this numerical method is also proved by using the Von Neumann analysis. Numerical results illustrate the effectiveness of the proposed method for European options under jump-diffusion models.
引用
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页码:913 / 938
页数:26
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