Stochastic simulation skill for financial modeling with probability distributions and risk quantification
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.
Input: Key uncertain variables, probability distributions, correlations
Process: Run simulations, aggregate results, calculate risk metrics
Output: Probability distributions of outcomes, VaR, confidence intervals
Input: Model structure, variable ranges, target outcomes
Process: Simulate scenarios, identify conditions for targets
Output: Probability of achieving targets, key driver sensitivity