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Main Authors: cai, Meng, Li, Tianze
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2509.24449
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author cai, Meng
Li, Tianze
author_facet cai, Meng
Li, Tianze
contents The Heston stochastic-local volatility model, consisting of a asset price process and a Cox--Ingersoll--Ross-type variance process, offers a wide range of applications in the financial industry. The pursuit for efficient model evaluation has been assiduously ongoing and central to which is the numerical simulation of CIR process. Different from the weakly convergent noncentral chi-squared approximation used in 25, this paper considers two strongly convergent and positivity-preserving methods for CIR process under Lamperti transformation, namely, the truncated Euler method and the backward Euler method. It should be noted that these two methods are completely different. The explicit truncated Euler method is computationally effective and remains robust under high volatility, while the implicit backward Euler method provides high computational accuracy and stable performance. Numerical experiments on European call options are presented to show the superiority of different methods.
format Preprint
id arxiv_https___arxiv_org_abs_2509_24449
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Efficient simulation of prices for European call options under Heston stochastic-local volatility model: a comparison of methods
cai, Meng
Li, Tianze
Computational Finance
The Heston stochastic-local volatility model, consisting of a asset price process and a Cox--Ingersoll--Ross-type variance process, offers a wide range of applications in the financial industry. The pursuit for efficient model evaluation has been assiduously ongoing and central to which is the numerical simulation of CIR process. Different from the weakly convergent noncentral chi-squared approximation used in 25, this paper considers two strongly convergent and positivity-preserving methods for CIR process under Lamperti transformation, namely, the truncated Euler method and the backward Euler method. It should be noted that these two methods are completely different. The explicit truncated Euler method is computationally effective and remains robust under high volatility, while the implicit backward Euler method provides high computational accuracy and stable performance. Numerical experiments on European call options are presented to show the superiority of different methods.
title Efficient simulation of prices for European call options under Heston stochastic-local volatility model: a comparison of methods
topic Computational Finance
url https://arxiv.org/abs/2509.24449