 # Quick Answer: Who Invented Monte Carlo Simulation?

Stanislaw Ulam

Stanislaw Ulam

## How does Monte Carlo simulation work?

Monte Carlo simulation performs risk analysis by building models of possible results by substituting a range of values—a probability distribution—for any factor that has inherent uncertainty. It then calculates results over and over, each time using a different set of random values from the probability functions.

## What does Monte Carlo simulation mean?

Monte Carlo simulation, or probability simulation, is a technique used to understand the impact of risk and uncertainty in financial, project management, cost, and other forecasting models. Uncertainty in Forecasting Models.

## Is the Monte Carlo method accurate?

For the sample size 1200, claimed accuracy 95th percentile is 1.0 percent. However, even for a random function with an error factor of 3, the theoretical accuracy of Monte Carlo simulation (see formula 23) is about 4 percent, which is still greater than 1 percent accuracy claimed by SAMPLE.