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

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

Elizabeth Chang / Fahed Mostafa / Tharam Dillon

157,66 €
IVA incluido
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Editorial:
Springer Nature B.V.
Año de edición:
2017
Materia
Macroeconomía
ISBN:
9783319516660

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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. 

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