Dynamic Risk Assessment and Simulation Framework

Create a comprehensive Python simulation framework for dynamic risk assessment that can model complex scenarios using Monte Carlo methods and probabilistic modeling. Implement advanced statistical techniques, support multiple risk calculation methodologies, and develop a flexible configuration system that allows users to define custom risk parameters. Include visualization capabilities, uncertainty analysis, and the ability to generate detailed risk reports with confidence intervals.