What is Monte Carlo Simulation?

3-Second Blueprint (English)

1. Monte Carlo simulation estimates outcome probabilities in uncertain systems by repeatedly sampling random variables rather than brute force.
2. Building a simulation requires defining dependent and input risk variables, then assigning probability distributions from data or judgment.
3. Running thousands of randomized trials produces a representative outcome distribution quantified by mean, variance, and standard deviation.