Singular properties of high-order spectral densities of supOU processes

This paper investigates the properties of high-order spectral densities and high-order cumulants of superpositions of Ornstein-Uhlenbeck (supOU) processes. As is well known, the long-range dependence of a stochastic process is typically characterized by the second-order spectral density or correlation function. We introduce the property of high-order long-range dependence using high-order spectral densities and cumulants. Sufficient conditions are derived for the supOU process to exhibit high-order long-range dependence. A numerical study of supOU processes with Dickman and gamma marginals is presented to illustrate the theoretical findings.

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Publication Details

Journal
Communications in Nonlinear Science and Numerical Simulation
Published
2025-11-07
DOI
https://doi.org/10.1016/j.cnsns.2025.109459
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Singular properties of high-order spectral densities of supOU processes

Andrey Pepelyshev, Alessandro Kovtun, Nikolai Leonenko
Communications in Nonlinear Science and Numerical Simulation
Stochastic processes and financial applications
article

Singular properties of high-order spectral densities of supOU processes

Andrey Pepelyshev, Alessandro Kovtun, Nikolai Leonenko
article en

Abstract

This paper investigates the properties of high-order spectral densities and high-order cumulants of superpositions of Ornstein-Uhlenbeck (supOU) processes. As is well known, the long-range dependence of a stochastic process is typically characterized by the second-order spectral density or correlation function. We introduce the property of high-order long-range dependence using high-order spectral densities and cumulants. Sufficient conditions are derived for the supOU process to exhibit high-order long-range dependence. A numerical study of supOU processes with Dickman and gamma marginals is presented to illustrate the theoretical findings.

Communications in Nonlinear Science and Numerical SimulationVol. 153
Cardiff University, Fundação de Amparo à Pesquisa do Estado de São Paulo, Hrvatska Zaklada za Znanost, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 58%
Stochastic processes and financial applications
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