Option price computation under binary control regime switching triple-factor stochastic volatility model

This study presents an efficient pricing framework for European call options under a binary control regime that switches to a triple-factor stochastic volatility model, tailored for recessionary and stable market phases. The model captures regime transitions via binary controls and incorporates triple volatility sources. We derive the characteristic function and implement a semi-analytical pricing formula using trapezoidal and Gauss-Laguerre quadrature in MATLAB. The economic recovery process is influenced by the control parameter $\alpha$, while the impacts $\theta_3$ are considered secondary to other factors driving recovery. The results show that the option prices under recessionary conditions were lower compared to the recession-free regime, thereby validating the model{'}s sensitivity to macroeconomic uncertainty. It further confirms that the binary control regime switching triple-factor stochastic volatility model offers greater accuracy and adaptability across economic states, making it a promising tool for option pricing in dynamic financial environments.

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Publication Details

Journal
Hacettepe Journal of Mathematics and Statistics
Published
2025-05-01
DOI
https://doi.org/10.15672/hujms.1538345
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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article

Option price computation under binary control regime switching triple-factor stochastic volatility model

Philip Ajibola Bankole, M. E. Egwe, Olabisi O. Ugbebor
1 citations
Hacettepe Journal of Mathematics and Statistics
Stochastic processes and financial applications
2.21
article

Option price computation under binary control regime switching triple-factor stochastic volatility model

Philip Ajibola Bankole, M. E. Egwe, Olabisi O. Ugbebor
article en
1 citations

Abstract

This study presents an efficient pricing framework for European call options under a binary control regime that switches to a triple-factor stochastic volatility model, tailored for recessionary and stable market phases. The model captures regime transitions via binary controls and incorporates triple volatility sources. We derive the characteristic function and implement a semi-analytical pricing formula using trapezoidal and Gauss-Laguerre quadrature in MATLAB. The economic recovery process is influenced by the control parameter $\alpha$, while the impacts $\theta_3$ are considered secondary to other factors driving recovery. The results show that the option prices under recessionary conditions were lower compared to the recession-free regime, thereby validating the model{'}s sensitivity to macroeconomic uncertainty. It further confirms that the binary control regime switching triple-factor stochastic volatility model offers greater accuracy and adaptability across economic states, making it a promising tool for option pricing in dynamic financial environments.

Hacettepe Journal of Mathematics and StatisticsVol. 54(3)
Lagos State University (NG), University of Ibadan (NG), Lagos State University of Education
Openalex Percentile: Top 15%
Stochastic processes and financial applications
2.21
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Option price computation under binary control regime switching triple-factor stochastic volatility model — Philip Ajibola Bankole, M. E. Egwe, et al. · Hacettepe Journal of Mathematics and Statistics (2025) | TGRS Research Map | TGRS