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Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk
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Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

Softcover reprint of the original 1st ed. 2017

Book Details

Format Paperback / Softback
ISBN-10 3319847139
ISBN-13 9783319847139
Edition Softcover reprint of the original 1st ed. 2017
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date May 4th, 2018
Print length 171 Pages
Ksh 19,800.00
Werezi Extended Catalogue 0 in stock

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This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling.
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
 


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