Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk |
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| Author:
| Mostafa, Fahed
Dillon, Tharam
Chang, Elizabeth |
| Series title: | Studies in Computational Intelligence Ser. |
| ISBN: | 978-3-319-51666-0 |
| Publication Date: | Mar 2017 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $149.99USD $129.99 |
Book Description:
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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. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
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.