Complex Financial Risk Correlation Matrix with Machine Learning

Design a comprehensive risk correlation analysis framework that integrates multiple financial risk dimensions including market volatility, credit default probabilities, and macroeconomic indicators. Create a predictive model that can dynamically weight risk factors using machine learning techniques, with specific emphasis on non-linear correlation detection. Develop a visualization strategy that allows senior financial executives to quickly interpret complex interdependencies between different risk categories.