Portfolio Optimization Using Probabilistic Risk Modeling

Create a sophisticated portfolio construction methodology using advanced probabilistic risk modeling techniques. Implement a multi-factor approach that integrates Bayesian network modeling, copula-based dependency structures, and dynamic asset allocation strategies. Develop a simulation framework that can generate thousands of potential portfolio scenarios while accounting for complex interdependencies between asset classes, macroeconomic factors, and market volatility regimes.