Monte Carlo Simulation: What It Is, How It Works, History, 4 Key Steps
Monte Carlo simulation is a quantitative technique used to model uncertainty by generating a large number of possible outcomes for a system whose behavior depends on random variables. Rather than producing a single-point estimate, it produces a probability distribution of outcomes, allowing analysts to assess risk, downside exposure, and the likelihood of extreme events. In … Read more