Garch Models, Volatility Forecasting, Financial Modeling, Time Series Analysis, Python.
volatility forecasts during turbulent market conditions. Accommodation of Autocorrelation: GARCH models can account for the autocorrelation present in financial time series data, improving the accuracy of volatility predictions over time. Conditional Volatility: By modeling the conditional variance