Garch Models, Volatility Forecasting, Financial Modeling, Time Series Analysis, Python.
Work: GARCH models are based on the concept of conditional heteroskedasticity, which means that the variance of the error term in a regression model is not constant but varies over time. GARCH models incorporate lagged values of the squared residuals (errors) to model the volatility dynamics. By