Optimal Control in Financial Markets for the Uncertain Volatility Model

This paper generalizes the well-known Black–Scholes model, specifically the uncertain volatility model. To calculate the fair price range of a payment obligation, Hamilton–Jacobi–Bellman equations are derived and transformed into nonlinear heat equations with boundary conditions. Theorems are proven stating that, for a certain class of payment obligations, solutions to nonlinear heat equations satisfy the linear heat equations. A computational example using real data is provided.

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Publication Details

Journal
Mathematics
Published
2025-12-19
DOI
https://doi.org/10.3390/math14010003
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Control in Financial Markets for the Uncertain Volatility Model

Irina Zemlyakova, G. A. Ougolnitsky, Natalia Danilova, Grigory Belyavski
Mathematics
Stochastic processes and financial applications
article

Optimal Control in Financial Markets for the Uncertain Volatility Model

Irina Zemlyakova, G. A. Ougolnitsky, Natalia Danilova, Grigory Belyavski
article en

Abstract

This paper generalizes the well-known Black–Scholes model, specifically the uncertain volatility model. To calculate the fair price range of a payment obligation, Hamilton–Jacobi–Bellman equations are derived and transformed into nonlinear heat equations with boundary conditions. Theorems are proven stating that, for a certain class of payment obligations, solutions to nonlinear heat equations satisfy the linear heat equations. A computational example using real data is provided.

MathematicsVol. 14(1)
Southern Federal University (RU)
Russian Science Foundation
Openalex Percentile: Top 50%
Stochastic processes and financial applications
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