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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-...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-7514264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liulimin europeanoptionbasedonleastsquaresmethodundernonextensivestatisticalmechanics AT cuiyingying europeanoptionbasedonleastsquaresmethodundernonextensivestatisticalmechanics |