Convergence of the θ-Euler-Maruyama method for a class of stochastic Volterra integro-differential equations

This paper addresses the convergence analysis of the θ-Euler-Maruyama method for a class of stochastic Volterra integro-differential equations (SVIDEs). At first, we discuss the existence, uniqueness, boundedness and H¨older continuity of the theoretical solution. Subsequently, the strong convergence order of the θ-Euler-Maruyama approach for SVIDEs is shown. Finally, we provided numerical examples to illustrate the theoretical results.

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Publication Details

Journal
Journal of Numerical Analysis and Approximation Theory
Published
2024-12-18
DOI
https://doi.org/10.33993/jnaat532-1433
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Convergence of the θ-Euler-Maruyama method for a class of stochastic Volterra integro-differential equations

Abdeldjalil Slama, Samiha Mouchir
Journal of Numerical Analysis and Approximation Theory
Stochastic processes and financial applications
article

Convergence of the θ-Euler-Maruyama method for a class of stochastic Volterra integro-differential equations

Abdeldjalil Slama, Samiha Mouchir
article en

Abstract

This paper addresses the convergence analysis of the θ-Euler-Maruyama method for a class of stochastic Volterra integro-differential equations (SVIDEs). At first, we discuss the existence, uniqueness, boundedness and H¨older continuity of the theoretical solution. Subsequently, the strong convergence order of the θ-Euler-Maruyama approach for SVIDEs is shown. Finally, we provided numerical examples to illustrate the theoretical results.

Journal of Numerical Analysis and Approximation TheoryVol. 53(2)
Ahmed Draia University (DZ)
Reduced inequalities
Openalex Percentile: Top 68%
Stochastic processes and financial applications
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