Monte Carlo Simulation

A computational technique that runs thousands or millions of randomized scenarios to model the range of possible outcomes for a portfolio, trade, or financial plan. Named after the famous casino in Monaco, Monte Carlo methods help traders and risk managers understand not just the expected return but the full distribution of potential results, including worst-case scenarios. Hedge funds and options desks use them extensively to stress-test positions against unlikely but devastating market events.