Build ARCH and GARCH Models in Time Series using Python

This project focuses on developing accurate volatility forecasting models to enhance market predictions and risk management. By analyzing market trends and volatility patterns, it helps investors, traders, and financial institutions make informed decisions, optimize portfolios, and improve risk mitigation strategies.

• Provides accurate volatility forecasts for better market predictions.

• Enhances market risk understanding for improved risk management.

• Helps investors optimize portfolios based on volatility.

• Aids in real-time decision-making for traders.

• Improves budgeting and forecasting by reducing market uncertainty.

• Enhances options pricing by predicting price movements.

• Strengthens risk management in banking for derivatives.

• Identifies market trends and volatility patterns.

• Supports compliance with market risk regulations.

• Guides effective hedging strategies based on volatility forecasts.