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

Lieferzeit: Lieferbar innerhalb 14 Tagen

139,09 

Studies in Computational Intelligence 697

ISBN: 3319516663
ISBN 13: 9783319516660
Autor: Mostafa, Fahed/Dillon, Tharam/Chang, Elizabeth
Verlag: Springer Verlag GmbH
Umfang: x, 171 S., 23 s/w Illustr., 171 p. 23 illus.
Erscheinungsdatum: 10.03.2017
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: Gebunden

The results in this book demonstrate the power of neural networks in learning complex behavior from the underlying financial time series data. The results in this book also demonstrate how neural networks can successfully be applied to volatility modeling, option pricings, and value at risk modeling. These features allow them to be applied to market risk problems to overcome classical issues associated with statistical models.

Artikelnummer: 542902 Kategorie:

Beschreibung

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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Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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