Analytic solutions of variance swaps for Heston models with stochastic long-run mean of variance and jumps

This paper presents the pricing formulas for variance swaps within the Heston model that incorporates jumps and a stochastic long-term mean for the underlying asset. By leveraging the Feynman-Kac theorem, we derive a partial integro-differential equation (PIDE) to obtain the joint moment-generating function for the aforementioned model. Furthermore, we provide a series pricing formula for discretely sampled variance swap, derived through the use of this joint moment-generating function. Additionally, we discuss the limiting properties of the pricing formula for discretely sampled variance swap, namely, the pricing formula for continuously sampled variance swap. Finally, to demonstrate the efficacy of the pricing formula, we conduct several numerical simulation experiments, including comparisons with Monte Carlo (MC) simulation results and an analysis of the impact of parameter variations on the strike price of variance swaps.

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Publication Details

Journal
PLoS ONE
Published
2025-03-25
DOI
https://doi.org/10.1371/journal.pone.0318886
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Analytic solutions of variance swaps for Heston models with stochastic long-run mean of variance and jumps

Jing Fu
PLoS ONE
Stochastic processes and financial applications
article

Analytic solutions of variance swaps for Heston models with stochastic long-run mean of variance and jumps

Jing Fu
article en

Abstract

This paper presents the pricing formulas for variance swaps within the Heston model that incorporates jumps and a stochastic long-term mean for the underlying asset. By leveraging the Feynman-Kac theorem, we derive a partial integro-differential equation (PIDE) to obtain the joint moment-generating function for the aforementioned model. Furthermore, we provide a series pricing formula for discretely sampled variance swap, derived through the use of this joint moment-generating function. Additionally, we discuss the limiting properties of the pricing formula for discretely sampled variance swap, namely, the pricing formula for continuously sampled variance swap. Finally, to demonstrate the efficacy of the pricing formula, we conduct several numerical simulation experiments, including comparisons with Monte Carlo (MC) simulation results and an analysis of the impact of parameter variations on the strike price of variance swaps.

PLoS ONEVol. 20(3)
Southwestern University of Finance and Economics (CN)
Openalex Percentile: Top 92%
Stochastic processes and financial applications
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