Subdiffusive option price model with Inverse Gaussian subordinator

The paper focuses on the option price subdiffusive model under the unusual behavior of the market, when the price may not be changed for some time, which is a quite common situation in modern illiquid financial markets or during global crises. In the model, the risk-free bond motion and classical geometrical Brownian motion (GBM) are time-changed by an inverted inverse Gaussian($\mathit{IG}$) subordinator. We explore the correlation structure of the subdiffusive GBM stock returns process, discuss option pricing techniques based on the martingale option pricing method and the fractal Dupire equation, and demonstrate how it applies in the case of the $\mathit{IG}$ subordinator.

Authors

Publication Details

Journal
Modern Stochastics Theory and Applications
Published
2024-11-08
DOI
https://doi.org/10.15559/24-vmsta265
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
1.08
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article

Subdiffusive option price model with Inverse Gaussian subordinator

Nataliya Shchestyuk, S. V. Tyshchenko
2 citations
Modern Stochastics Theory and Applications
Stochastic processes and financial applications
1.08
article

Subdiffusive option price model with Inverse Gaussian subordinator

Nataliya Shchestyuk, S. V. Tyshchenko
article en
2 citations

Abstract

The paper focuses on the option price subdiffusive model under the unusual behavior of the market, when the price may not be changed for some time, which is a quite common situation in modern illiquid financial markets or during global crises. In the model, the risk-free bond motion and classical geometrical Brownian motion (GBM) are time-changed by an inverted inverse Gaussian($\mathit{IG}$) subordinator. We explore the correlation structure of the subdiffusive GBM stock returns process, discuss option pricing techniques based on the martingale option pricing method and the fractal Dupire equation, and demonstrate how it applies in the case of the $\mathit{IG}$ subordinator.

Modern Stochastics Theory and Applications
Openalex Percentile: Top 20%
Stochastic processes and financial applications
1.08
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