Monte Carlo simulation for risk and uncertainty

Summary

Runs Monte Carlo analysis to model complex uncertainty and quantify risk across various business assumptions. It supports multiple probability distributions (e.g., normal, beta, lognormal) to forecast outcomes and calculate metrics like Value at Risk.