Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models

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Main Authors: He, Jian, Karbach, Sven, Khedher, Asma
Format: Preprint
Published: 2025
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author He, Jian
Karbach, Sven
Khedher, Asma
author_facet He, Jian
Karbach, Sven
Khedher, Asma
contents We study the pricing of European-style options written on forward contracts within function-valued infinite-dimensional affine stochastic volatility models. The dynamics of the underlying forward price curves are modeled within the Heath-Jarrow-Morton-Musiela framework as solution to a stochastic partial differential equation modulated by a stochastic volatility process. We analyze two classes of affine stochastic volatility models: (i) a Gaussian model governed by a finite-rank Wishart process, and (ii) a pure-jump affine model extending the Barndorff--Nielsen--Shephard framework with state-dependent jumps in the covariance component. For both models, we derive conditions for the existence of exponential moments and develop semi-closed Fourier-based pricing formulas for vanilla call and put options written on forward price curves. Our approach allows for tractable pricing in models with infinitely many risk factors, thereby capturing maturity-specific and term structure risk essential in forward markets.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14813
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models
He, Jian
Karbach, Sven
Khedher, Asma
Mathematical Finance
Probability
Computational Finance
We study the pricing of European-style options written on forward contracts within function-valued infinite-dimensional affine stochastic volatility models. The dynamics of the underlying forward price curves are modeled within the Heath-Jarrow-Morton-Musiela framework as solution to a stochastic partial differential equation modulated by a stochastic volatility process. We analyze two classes of affine stochastic volatility models: (i) a Gaussian model governed by a finite-rank Wishart process, and (ii) a pure-jump affine model extending the Barndorff--Nielsen--Shephard framework with state-dependent jumps in the covariance component. For both models, we derive conditions for the existence of exponential moments and develop semi-closed Fourier-based pricing formulas for vanilla call and put options written on forward price curves. Our approach allows for tractable pricing in models with infinitely many risk factors, thereby capturing maturity-specific and term structure risk essential in forward markets.
title Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models
topic Mathematical Finance
Probability
Computational Finance
url https://arxiv.org/abs/2508.14813