Theoretical and Empirical Validation of Heston Model

Fuente: arXiv
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Main Authors: Cao, Zheng, Lin, Xinhao
Format: Preprint
Published: 2024
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author Cao, Zheng
Lin, Xinhao
author_facet Cao, Zheng
Lin, Xinhao
contents This study focuses on the application of the Heston model to option pricing, employing both theoretical derivations and empirical validations. The Heston model, known for its ability to incorporate stochastic volatility, is derived and analyzed to evaluate its effectiveness in pricing options. For practical application, we utilize Monte Carlo simulations alongside market data from the Crude Oil WTI market to test the model's accuracy. Machine learning based optimization methods are also applied for the estimation of the five Heston parameters. By calibrating the model with real-world data, we assess its robustness and relevance in current financial markets, aiming to bridge the gap between theoretical finance models and their practical implementations.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12453
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Theoretical and Empirical Validation of Heston Model
Cao, Zheng
Lin, Xinhao
Computational Finance
Probability
60H15
This study focuses on the application of the Heston model to option pricing, employing both theoretical derivations and empirical validations. The Heston model, known for its ability to incorporate stochastic volatility, is derived and analyzed to evaluate its effectiveness in pricing options. For practical application, we utilize Monte Carlo simulations alongside market data from the Crude Oil WTI market to test the model's accuracy. Machine learning based optimization methods are also applied for the estimation of the five Heston parameters. By calibrating the model with real-world data, we assess its robustness and relevance in current financial markets, aiming to bridge the gap between theoretical finance models and their practical implementations.
title Theoretical and Empirical Validation of Heston Model
topic Computational Finance
Probability
60H15
url https://arxiv.org/abs/2409.12453