Garch Models, Volatility Forecasting, Financial Modeling, Time Series Analysis, Python.
models are a class of time series models that aim to capture the volatility clustering and persistence observed in financial data. These models were introduced by Tim Bollerslev in the early 1980s and have since become a popular tool for volatility forecasting in financial markets. How GARCH Models