Options pricing with Markov regime switching Heston volatility Hull–White interest rates and stochastic intensity

Abstract This paper proposes an options pricing model that incorporates stochastic volatility, stochastic interest rates, and stochastic jump intensity. Market shocks are modeled using a jump process, with each jump governed by an asymmetric double-exponential distribution. The model also integrates a Markov regime-switching framework for volatility and the risk-free rate, allowing the market to alternate between a finite number of distinct economic states. A closed-form solution for European option pricing is derived. To demonstrate the significance of the proposed model, a comparison with various other models is performed, and the sensitivity of the various model parameters is illustrated.

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Publication Details

Journal
Probability in the Engineering and Informational Sciences
Published
2025-01-09
DOI
https://doi.org/10.1017/s0269964824000202
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
4.42
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article

Options pricing with Markov regime switching Heston volatility Hull–White interest rates and stochastic intensity

Dharmaraja Selvamuthu, Priya Mittal
2 citations
Probability in the Engineering and Informational Sciences
Stochastic processes and financial applications
4.42
article

Options pricing with Markov regime switching Heston volatility Hull–White interest rates and stochastic intensity

Dharmaraja Selvamuthu, Priya Mittal
article en
2 citations

Abstract

Abstract This paper proposes an options pricing model that incorporates stochastic volatility, stochastic interest rates, and stochastic jump intensity. Market shocks are modeled using a jump process, with each jump governed by an asymmetric double-exponential distribution. The model also integrates a Markov regime-switching framework for volatility and the risk-free rate, allowing the market to alternate between a finite number of distinct economic states. A closed-form solution for European option pricing is derived. To demonstrate the significance of the proposed model, a comparison with various other models is performed, and the sensitivity of the various model parameters is illustrated.

Probability in the Engineering and Informational SciencesVol. 39(2)
Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 8%
Stochastic processes and financial applications
4.42
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Options pricing with Markov regime switching Heston volatility Hull–White interest rates and stochastic intensity — Dharmaraja Selvamuthu, Priya Mittal · Probability in the Engineering and Informational Sciences (2025) | TGRS Research Map | TGRS