Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk
暫譯: 計算智慧在選擇權定價、波動率預測及風險價值中的應用

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.