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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Main Authors: Limin Liu, Yingying Cui
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/10/933
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author Limin Liu
Yingying Cui
author_facet Limin Liu
Yingying Cui
author_sort Limin Liu
collection DOAJ
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 doaj.art-39273b0a698c4ce1b7daad3fd24daed22022-12-22T02:54:38ZengMDPI AGEntropy1099-43002019-09-01211093310.3390/e21100933e21100933European Option Based on Least-Squares Method under Non-Extensive Statistical MechanicsLimin Liu0Yingying Cui1College of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaCollege of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaThis 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.https://www.mdpi.com/1099-4300/21/10/933european call optionnon-extensive statistical mechanicsleast-square methoderror analysis
spellingShingle Limin Liu
Yingying Cui
European Option Based on Least-Squares Method under Non-Extensive Statistical Mechanics
Entropy
european call option
non-extensive statistical mechanics
least-square method
error analysis
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 european call option
non-extensive statistical mechanics
least-square method
error analysis
url https://www.mdpi.com/1099-4300/21/10/933
work_keys_str_mv AT liminliu europeanoptionbasedonleastsquaresmethodundernonextensivestatisticalmechanics
AT yingyingcui europeanoptionbasedonleastsquaresmethodundernonextensivestatisticalmechanics