Volatility Forecasting: Incorporating GARCH Models in Python for Risk Analysis

Volatility forecasting plays a crucial role in risk management and financial decision-making. Understanding the dynamics of volatility in financial markets is essential for anticipating potential fluctuations and managing portfolio risk effectively. In this tutorial, we will explore the concept of volatility forecasting and delve into the importance of incorporating Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models for risk analysis.