Market volatility revealed as chaotic, neural networks outperform in forecasting.
Financial market volatility can exhibit chaotic behavior, despite previous doubts. A new method using Lyapunov exponent shows that volatility is chaotic, even with noisy data. Analysis on eight major volatility indexes supports this finding. Neural networks are superior in forecasting market volatility compared to other methods.