Answer: It is suitable for modeling the tail of the operational loss distribution, but not for modeling the body of the distribution.

The power law is a mathematical relationship that is used to model the tail of a distribution, specifically for events that are rare but have a significant impact. In the context of operational risk management, the power law is particularly useful for estimating the potential losses from extreme events, which are not common but can result in large financial consequences. The statement "It is suitable for modeling the tail of the operational loss distribution, but not for modeling the body of the distribution" (Option D) is correct because the power law captures the behavior of the tail, where the probability of very high losses occurs. This is in contrast to the body of the distribution, which represents more frequent, smaller losses that are not well-modeled by the power law. The power law is characterized by the equation Pr(v > x) = Kx^(-α), where Pr denotes the probability, K and α are parameters, and x is a high value of the random variable v. This equation is only approximately true for high values of x, which corresponds to the tail of the distribution. The power law does not imply that operational losses follow a normal distribution (Option A is incorrect), nor does it suggest that it is more effective for certain types of operational risk over others (Option B is incorrect). Additionally, the power law is not typically used to estimate routine operational losses that occur frequently (Option C is incorrect), as these are part of the body of the distribution and not the tail. In summary, the power law is a valuable tool for operational risk managers when they need to assess the potential for large, infrequent losses, but it is not appropriate for modeling the more common, smaller losses that occur regularly.

Author: LeetQuiz Editorial Team