Arch Models

Where:

Unlike standard regression models that assume constant variance over time (homoscedasticity), ARCH models recognize that financial data often experiences "volatility clustering"—low volatility periods followed by low volatility, and high volatility periods followed by high volatility. The Core Concept: Modeling Variance arch models

Asset returns often have higher probabilities of extreme observations compared to normal distributions. arch models