How Does Monte Carlo Simulation Enhance Traditional Sensitivity Analysis?

Monte Carlo simulation enhances traditional sensitivity analysis by modeling thousands of possible outcomes based on a range of probability distributions for key uncertain variables (e.g. transaction volume, discount rate). Unlike traditional sensitivity analysis, which tests only a few discrete scenarios, Monte Carlo provides a full probability distribution of the potential intrinsic value, allowing investors to quantify the likelihood of different outcomes and the associated risk.