Cross-Asset Correlation and Volatility Modeling

Create an automated financial modeling system that can dynamically analyze correlations between multiple asset classes, generate sophisticated volatility predictions, and provide actionable investment insights. Implement advanced statistical techniques including copula methods, GARCH models, and machine learning predictive algorithms. Design a flexible architecture supporting real-time data integration and comprehensive risk assessment.