Convergence analysis for continuous-time Markov chain approximation of stochastic local volatility models: Option pricing and Greeks

被引:6
|
作者
Ma, Jingtang [1 ]
Yang, Wensheng [1 ]
Cui, Zhenyu [2 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Econ Math, Chengdu 611130, Peoples R China
[2] Stevens Inst Technol, Sch Business, Hoboken, NJ 07030 USA
基金
中国国家自然科学基金;
关键词
Continuous-time Markov chains; Stochastic local volatility models; Option pricing; Greeks; Convergence rates; FRAMEWORK; SABR;
D O I
10.1016/j.cam.2021.113901
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper establishes the precise second order convergence rates of the continuous time Markov chain (CTMC) approximation method for pricing options under the general framework of stochastic local volatility (SLV) models. The stochastic local volatility models studied in this paper include Heston model, 4/2 model, alpha-Hypergeometric model, stochastic alpha beta rho (SABR) model, Heston-SABR model and quadratic SLV model. Using the stochastic flow theorem, the closed-form CTMC approximation formula for the Greeks are obtained and the second order convergence rates are proved. Numerical examples confirm the theoretical findings. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:14
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