Financial Risk Model Predictive Validation Framework

Create a comprehensive validation framework for assessing machine learning risk prediction models in financial environments. Develop a modular system that can dynamically validate model performance across multiple risk categories (credit, market, operational) using Monte Carlo simulation techniques. The framework must generate detailed statistical reports, calculate confidence intervals, and provide automated recommendations for model refinement.