Overview of GARCH Models

GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models are a class of statistical models used in analyzing time series data, particularly in financial econometrics. They were introduced by Tim Bollerslev in 1986 to address the issue of volatility clustering, which refers to the tendency of periods of high volatility to be followed by periods of high volatility, and vice versa.