Which statement best describes Monte Carlo simulation's purpose?

• A. To quantify both magnitude and probability of undesirable outcomes
• B. To guarantee business success
• C. To eliminate all uncertainty
• D. To produce a single forecast

Answer: (A)

Monte Carlo simulation is used to reveal how big an outcome could be and how likely each outcome is, given uncertainty in the inputs. By repeatedly sampling from probability distributions for factors like costs, demand, or prices and computing the result each time, it builds a full distribution of possible results rather than a single point estimate. This lets you see the range of outcomes and quantify risk measures such as the probability of losses, expected loss, and the likelihood of achieving certain financial targets. It also helps you understand how sensitive the results are to different assumptions by analyzing how changes in inputs shift the distribution. It does not guarantee business success, cannot eliminate uncertainty, and does not produce one definite forecast; instead, it characterizes uncertainty and supports more informed, risk-aware decisions.