Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation

The application of adaptive nonlinear fuzzy numbers to the Black-Scholes Model is proposed in this study. Due to the Fluctuation of financial market from time to time, some input parameters in the Black-Scholes formula, such as Underlying price, risk-free interest rate, volatility, cannot always be...

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Main Author: LI, Xin
Format: Dissertation (University of Nottingham only)
Language:English
English
Published: 2009
Online Access:https://eprints.nottingham.ac.uk/23308/
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author LI, Xin
author_facet LI, Xin
author_sort LI, Xin
building Nottingham Research Data Repository
collection Online Access
description The application of adaptive nonlinear fuzzy numbers to the Black-Scholes Model is proposed in this study. Due to the Fluctuation of financial market from time to time, some input parameters in the Black-Scholes formula, such as Underlying price, risk-free interest rate, volatility, cannot always be expected in the precise sense. This study aims to propose an applicable model for Black-Scholes European call option pricing in the uncertain environment, and to create a suitable program which can be used to compute the fuzzy call option values for any input data, for later use. Adaptive nonlinear fuzzy numbers are used to model uncertainty of parameters in the Black-Scholes Model. A fuzzy option value can be worked out in the form of a closed interval. The range of the intervals can vary when financial analysts or investors choose different levels of belief degree. However, after empirical analysis based on the data of NASDAQ 100 Index options, some limitations of this model has been found and further work may be required to improve the methodology.
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format Dissertation (University of Nottingham only)
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language English
English
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publishDate 2009
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spelling nottingham-233082018-03-06T16:20:06Z https://eprints.nottingham.ac.uk/23308/ Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation LI, Xin The application of adaptive nonlinear fuzzy numbers to the Black-Scholes Model is proposed in this study. Due to the Fluctuation of financial market from time to time, some input parameters in the Black-Scholes formula, such as Underlying price, risk-free interest rate, volatility, cannot always be expected in the precise sense. This study aims to propose an applicable model for Black-Scholes European call option pricing in the uncertain environment, and to create a suitable program which can be used to compute the fuzzy call option values for any input data, for later use. Adaptive nonlinear fuzzy numbers are used to model uncertainty of parameters in the Black-Scholes Model. A fuzzy option value can be worked out in the form of a closed interval. The range of the intervals can vary when financial analysts or investors choose different levels of belief degree. However, after empirical analysis based on the data of NASDAQ 100 Index options, some limitations of this model has been found and further work may be required to improve the methodology. 2009 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/23308/1/XIN_LI_4092481_MSc_Computational_Finance.pdf other en https://eprints.nottingham.ac.uk/23308/2/CD.rar LI, Xin (2009) Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation. [Dissertation (University of Nottingham only)] (Unpublished)
spellingShingle LI, Xin
Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title_full Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title_fullStr Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title_full_unstemmed Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title_short Applications of Adaptive Fuzzy Numbers to Black-Scholes European Call Valuation
title_sort applications of adaptive fuzzy numbers to black-scholes european call valuation
url https://eprints.nottingham.ac.uk/23308/