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A Monte Carlo simulation is a model used to predict the probability of a variety of outcomes when the potential for random variables is present.

Monte Carlo simulations help to explain the impact of risk and uncertainty in prediction and forecasting models.

A Monte Carlo simulation requires assigning multiple values to an uncertain variable to achieve multiple results and then averaging the results to obtain an estimate.

These simulations assume perfectly efficient markets.

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