Cross-Asset Correlation and Systemic Risk Modeling Framework

Develop a sophisticated Python framework for modeling complex cross-asset correlations and systemic financial risk. Implement advanced statistical techniques including copula methods, dynamic conditional correlation models, and network analysis to map interdependencies between global financial markets. Create visualization tools using networkx and plotly to represent complex correlation networks. Include predictive modeling capabilities for potential systemic shock scenarios.