A Variational Formulation of European Option Prices in the 1‐Hypergeometric Stochastic Volatility Model

ABSTRACT The paper proposes a variational analysis of the 1‐hypergeometric stochastic volatility model for pricing European options. The methodology involves the derivation of estimates of the weak solution in a weighted Sobolev space. The weight is closely related to the stochastic volatility dynamic of the model. The solution is further analyzed using semigroup theory applied to the pricing operator and leads to certain constraints on the model parameters. An implementation of the model using a finite element method library is carried out and illustrates how the model works.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-08-28
DOI
https://doi.org/10.1002/mma.70075
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A Variational Formulation of European Option Prices in the 1‐Hypergeometric Stochastic Volatility Model

José Da Fonseca, Wenjun Zhang
Mathematical Methods in the Applied Sciences
Stochastic processes and financial applications
article

A Variational Formulation of European Option Prices in the 1‐Hypergeometric Stochastic Volatility Model

José Da Fonseca, Wenjun Zhang
article en

Abstract

ABSTRACT The paper proposes a variational analysis of the 1‐hypergeometric stochastic volatility model for pricing European options. The methodology involves the derivation of estimates of the weak solution in a weighted Sobolev space. The weight is closely related to the stochastic volatility dynamic of the model. The solution is further analyzed using semigroup theory applied to the pricing operator and leads to certain constraints on the model parameters. An implementation of the model using a finite element method library is carried out and illustrates how the model works.

Mathematical Methods in the Applied SciencesVol. 48(17)
Auckland University of Technology (NZ), Université Paris 1 Panthéon-Sorbonne (FR)
Auckland University of Technology, New Zealand
Openalex Percentile: Top 70%
Stochastic processes and financial applications
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