monte-carlo-financial-simulator

# Monte Carlo Financial Simulator ## Overview The Monte Carlo Financial Simulator skill enables probabilistic financial modeling through stochastic simulation. It generates thousands of scenarios based on probability distributions to quantify risk and uncertainty in financial forecasts and valuations. ## Capabilities ### Probability Distribution Fitting - Normal distribution fitting - Lognormal distribution for positive values - Triangular distribution for expert estimates - PERT distribution modeling - Custom distribution creation - Historical data-based fitting ### Correlation Matrix Handling - Variable correlation specification - Cholesky decomposition for correlated sampling - Copula implementation - Rank correlation (Spearman) - Correlation stability testing - Partial correlation analysis ### Convergence Analysis - Sample size determination - Convergence testing - Precision metrics calculation - Stopping criteria implementation - Result stability verification - Computational efficiency optimization ### Value at Risk (VaR) Calculation - Parametric VaR - Historical simulation VaR - Monte Carlo VaR - Expected shortfall (CVaR) - Marginal VaR - Incremental VaR ### Confidence Interval Generation - Percentile-based intervals - Bootstrap confidence intervals - Prediction intervals - Tolerance intervals - One-sided bounds - Joint confidence regions ### Crystal Ball/ModelRisk Integration - @RISK compatibility - Crystal Ball formula support - Model export capabilities - Si...