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A numerical study of the European option by the MLPG method with moving kriging interpolation

In this paper, the meshless local Petrov–Galerkin (MLPG) method is applied for solving a generalized Black–Scholes equation in financial problems. This equation is a PDE governing the price evolution of a European call or a European put under the Black–Scholes model. The θ-weighted method and MLPG a...

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Autores principales: Phaochoo, P., Luadsong, A., Aschariyaphotha, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783319/
https://www.ncbi.nlm.nih.gov/pubmed/27064892
http://dx.doi.org/10.1186/s40064-016-1947-5
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author Phaochoo, P.
Luadsong, A.
Aschariyaphotha, N.
author_facet Phaochoo, P.
Luadsong, A.
Aschariyaphotha, N.
author_sort Phaochoo, P.
collection PubMed
description In this paper, the meshless local Petrov–Galerkin (MLPG) method is applied for solving a generalized Black–Scholes equation in financial problems. This equation is a PDE governing the price evolution of a European call or a European put under the Black–Scholes model. The θ-weighted method and MLPG are used for discretizing the governing equation in time variable and option pricing, respectively. We show that the spectral radius of amplification matrix with the discrete operator is less than 1. This ensures that this numerical scheme is stable. Numerical experiments are performed with time varying volatility and the results are compared with the analytical and the numerical results of other methods.
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spelling pubmed-47833192016-04-09 A numerical study of the European option by the MLPG method with moving kriging interpolation Phaochoo, P. Luadsong, A. Aschariyaphotha, N. Springerplus Research In this paper, the meshless local Petrov–Galerkin (MLPG) method is applied for solving a generalized Black–Scholes equation in financial problems. This equation is a PDE governing the price evolution of a European call or a European put under the Black–Scholes model. The θ-weighted method and MLPG are used for discretizing the governing equation in time variable and option pricing, respectively. We show that the spectral radius of amplification matrix with the discrete operator is less than 1. This ensures that this numerical scheme is stable. Numerical experiments are performed with time varying volatility and the results are compared with the analytical and the numerical results of other methods. Springer International Publishing 2016-03-09 /pmc/articles/PMC4783319/ /pubmed/27064892 http://dx.doi.org/10.1186/s40064-016-1947-5 Text en © Phaochoo et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Phaochoo, P.
Luadsong, A.
Aschariyaphotha, N.
A numerical study of the European option by the MLPG method with moving kriging interpolation
title A numerical study of the European option by the MLPG method with moving kriging interpolation
title_full A numerical study of the European option by the MLPG method with moving kriging interpolation
title_fullStr A numerical study of the European option by the MLPG method with moving kriging interpolation
title_full_unstemmed A numerical study of the European option by the MLPG method with moving kriging interpolation
title_short A numerical study of the European option by the MLPG method with moving kriging interpolation
title_sort numerical study of the european option by the mlpg method with moving kriging interpolation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783319/
https://www.ncbi.nlm.nih.gov/pubmed/27064892
http://dx.doi.org/10.1186/s40064-016-1947-5
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