Garch Models, Volatility Forecasting, Financial Modeling, Time Series Analysis, Python.
accounting for these persistent volatility shocks, analysts can obtain more accurate forecasts of future volatility behavior. Conclusion In conclusion, GARCH models serve as potent tools for volatility forecasting in financial markets. By capturing the dynamics of volatility clustering, persistence