Copulas for Stochastic Volatility Models

In this article, a Fokker–Planck equation framework for the copula density associated with a two-dimensional stochastic differential equations system is developed. The different information pieces associated with the statistical interdependence properties and the marginal ones are separated explicitly, and the corresponding boundary conditions for the copula distribution are analyzed. Given the set of functions that defines the copula density dynamics and the marginal probability density functions, a Fokker-Planck equation for the multivariate density probability function of the stochastic volatility model is obtained.

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Publication Details

Journal
Mathematics
Published
2026-04-27
DOI
https://doi.org/10.3390/math14091470
Primary Topic
Financial Risk and Volatility Modeling
Type
article
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article

Copulas for Stochastic Volatility Models

Marcelo Villena, Roberto Ortiz Herrera, Mauricio Contreras Contreras González
Mathematics
Financial Risk and Volatility Modeling
article

Copulas for Stochastic Volatility Models

Marcelo Villena, Roberto Ortiz Herrera, Mauricio Contreras Contreras González
article en

Abstract

In this article, a Fokker–Planck equation framework for the copula density associated with a two-dimensional stochastic differential equations system is developed. The different information pieces associated with the statistical interdependence properties and the marginal ones are separated explicitly, and the corresponding boundary conditions for the copula distribution are analyzed. Given the set of functions that defines the copula density dynamics and the marginal probability density functions, a Fokker-Planck equation for the multivariate density probability function of the stochastic volatility model is obtained.

MathematicsVol. 14(9)
Universidad Católica de la Santísima Concepción (CL), Universidad Andrés Bello (CL), Federico Santa María Technical University (CL), Universidad Diego Portales (CL)
Reduced inequalities
Openalex Percentile: Top 13%
Financial Risk and Volatility Modeling
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