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

af Elizabeth Chang, m.fl.

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.