Explanation:
In the FAIR (Factor Analysis of Information Risk) model, Monte Carlo simulations are utilized to process the estimated ranges of inputs (such as loss event frequency and loss magnitude). By running thousands of iterations, the Monte Carlo engine combines these variables to produce a distribution of probable loss outcomes. Therefore, the primary purpose of using Monte Carlo simulations in this context is to provide the distribution of simulated scenario losses as output, allowing risk managers to understand the probability and range of potential financial impacts.
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Q.5160 What is the purpose of Monte Carlo simulations in the FAIR model of managing operational risk?
A
To estimate the frequency and magnitude of a potential loss event.
B
To generate scenarios with an asset at risk, a threat community, a threat type and an effect.
C
To provide the distribution of simulated scenario losses as output.
D
To determine the best course of action to prevent a potential loss event.
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