203,79 €
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
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203,79 €
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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- Author: Fahed Mostafa, Tharam Dillon, Elizabeth Chang
- Publisher: Springer-Verlag GmbH
- Year: 2017
- ISBN: 9783319516684
- ISBN-10: 331951668X
- ISBN-13: 9783319516684
- Format: PDF
- Language: English
Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk (e-book) (used book) | bookbook.eu
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Description
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.
- Author: Fahed Mostafa, Tharam Dillon, Elizabeth Chang
- Publisher: Springer-Verlag GmbH
- Year: 2017
- ISBN: 9783319516684
- ISBN-10: 331951668X
- ISBN-13: 9783319516684
- Format: PDF
- Language: English English
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.
Reviews