Dynamic Financial Stress Testing Simulation Engine

Create an advanced PostgreSQL simulation framework that models financial institution stress scenarios using Monte Carlo methods and complex statistical modeling. Develop stored procedures that can generate thousands of economic scenarios, calculating capital adequacy, liquidity ratios, and potential loss projections under extreme market conditions. The system must incorporate multiple economic variables, provide probabilistic risk distributions, and generate comprehensive reporting with confidence intervals.