Monte Carlo simulation

Monte Carlo simulation is a computational technique that models uncertain outcomes by running thousands of random iterations. In risk, it estimates the distribution of possible annual losses across a portfolio of risks.

By sampling each risk's probability and loss range many times, it produces an expected loss and a value at risk figure — turning a qualitative risk heat map into a quantified financial view.

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