Description
Set Monte Carlo Risk simulation input assumptions, run and view simulation results, compare and overlay simulation results, run analysis of alternatives, and perform dynamic sensitivity. methods include run simulations on 50 probability distributions, confidence and percentiles of simulated results, probabilities of success and failures, Value at Risk, risk-adjusted returns, probabilistic overlay and comparison of multiple options and investment strategies, and dynamic sensitivity of results.