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Erschienen in: Soft Computing 24/2019

05.03.2019 | Methodologies and Application

Fuzzy simulation of European option pricing using mixed fractional Brownian motion

verfasst von: Sara Ghasemalipour, Behrouz Fathi-Vajargah

Erschienen in: Soft Computing | Ausgabe 24/2019

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Abstract

Financial pricing models have great impact on the world of high finance as they enable financial experts to predict the dynamics of underlying asset. Over the last few decades, there has been a lot of competitions among financial researches to establish the most efficient pricing model for different options. This study aims to propose an option valuation model based on mixed fractional Brownian motion and to show how it can efficiently be used as a financial predictive model. In fact, this option evaluation model employs the fuzzy simulation method to estimate a European call option under the condition that the interest rates (domestic and foreign rates) and the volatility are random fuzzy variables. Furthermore, the performance of the proposed model is validated by solving some experimental problems.

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Metadaten
Titel
Fuzzy simulation of European option pricing using mixed fractional Brownian motion
verfasst von
Sara Ghasemalipour
Behrouz Fathi-Vajargah
Publikationsdatum
05.03.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 24/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-03862-2

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