The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes

This article deals with Wishart process which is defined as matrix generalization of a squared Bessel process. We consider a single risky asset pricing model whose volatility is described by Wishart affine diffusion processes. The multifactor volatility specification enables this model to be flexibl...

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Main Authors: Raphael Naryongo, Philip Ngare, Anthony Waititu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2021/4050722
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author Raphael Naryongo
Philip Ngare
Anthony Waititu
author_facet Raphael Naryongo
Philip Ngare
Anthony Waititu
author_sort Raphael Naryongo
collection DOAJ
description This article deals with Wishart process which is defined as matrix generalization of a squared Bessel process. We consider a single risky asset pricing model whose volatility is described by Wishart affine diffusion processes. The multifactor volatility specification enables this model to be flexible enough to describe the market prices for short or long maturities. The aim of the study is to derive the log-asset returns dynamic under the double Wishart stochastic volatility model. The corrected Euler–Maruyama discretization technique is applied in order to obtain the numerical solution of the log-asset return dynamic under Bi-Wishart processes. The numerical examples show the effect of the model parameters on the asset returns under the double Wishart volatility model.
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institution Kabale University
issn 1687-0425
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-6e10a82b423b48bda2394cd0fb9395962025-02-03T01:08:47ZengWileyInternational Journal of Mathematics and Mathematical Sciences1687-04252021-01-01202110.1155/2021/4050722The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart ProcessesRaphael Naryongo0Philip Ngare1Anthony Waititu2Department of Statistics and Actuarial ScienceSchool of MathematicsDepartment of Statistics and Actuarial ScienceThis article deals with Wishart process which is defined as matrix generalization of a squared Bessel process. We consider a single risky asset pricing model whose volatility is described by Wishart affine diffusion processes. The multifactor volatility specification enables this model to be flexible enough to describe the market prices for short or long maturities. The aim of the study is to derive the log-asset returns dynamic under the double Wishart stochastic volatility model. The corrected Euler–Maruyama discretization technique is applied in order to obtain the numerical solution of the log-asset return dynamic under Bi-Wishart processes. The numerical examples show the effect of the model parameters on the asset returns under the double Wishart volatility model.http://dx.doi.org/10.1155/2021/4050722
spellingShingle Raphael Naryongo
Philip Ngare
Anthony Waititu
The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
International Journal of Mathematics and Mathematical Sciences
title The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
title_full The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
title_fullStr The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
title_full_unstemmed The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
title_short The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
title_sort log asset dynamic with euler maruyama scheme under wishart processes
url http://dx.doi.org/10.1155/2021/4050722
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