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European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics

This paper is devoted to the study of the pricing of European options under a non-Gaussian model. This model follows a non-extensive statistical mechanics which can better describe the fractal characteristics of price movement in the financial market. Moreover, we present a simple but precise least-...

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Detalles Bibliográficos
Autores principales: Liu, Limin, Cui, Yingying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514264/
http://dx.doi.org/10.3390/e21100933
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author Liu, Limin
Cui, Yingying
author_facet Liu, Limin
Cui, Yingying
author_sort Liu, Limin
collection PubMed
description This paper is devoted to the study of the pricing of European options under a non-Gaussian model. This model follows a non-extensive statistical mechanics which can better describe the fractal characteristics of price movement in the financial market. Moreover, we present a simple but precise least-square method for approximation and obtain a closed-form solution of the price of European options. The advantages of this technique are illustrated by numerical simulation, which shows that the least-squares method is better compared with Borland’s two methods in 2002 and 2004.
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spelling pubmed-75142642020-11-09 European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics Liu, Limin Cui, Yingying Entropy (Basel) Article This paper is devoted to the study of the pricing of European options under a non-Gaussian model. This model follows a non-extensive statistical mechanics which can better describe the fractal characteristics of price movement in the financial market. Moreover, we present a simple but precise least-square method for approximation and obtain a closed-form solution of the price of European options. The advantages of this technique are illustrated by numerical simulation, which shows that the least-squares method is better compared with Borland’s two methods in 2002 and 2004. MDPI 2019-09-25 /pmc/articles/PMC7514264/ http://dx.doi.org/10.3390/e21100933 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Limin
Cui, Yingying
European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title_full European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title_fullStr European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title_full_unstemmed European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title_short European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
title_sort european option based on least-squares method under non-extensive statistical mechanics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514264/
http://dx.doi.org/10.3390/e21100933
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AT cuiyingying europeanoptionbasedonleastsquaresmethodundernonextensivestatisticalmechanics