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Explanation:
The Anderson-Darling test's sensitivity can magnify inaccuracies within small datasets, making determination of reliable tail behavior challenging, necessitating alternative approaches or additional data for stability.
A is incorrect. Central distribution assessment is possible but tails are emphasized, flipping the problem stated.
B is incorrect. Computational load isn't as severe as its distributional sensitivity concerns in this context.
D is incorrect. Understatement is the opposite of the challenge – overstatement or misinterpretation is more likely.
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Q.6484 In validating VaR models through PIT-based backtesting, a manager seeks to understand the limitations of the Anderson-Darling test within small sample environments. What challenges does this pose in practical application?
A
Difficulty in capturing central distributions due to heavy tail focus.
B
Computational inefficiencies make analysis unwieldy.
C
Sensitivity magnifies inaccuracies within limited datasets.
D
Risk of understated tail behaviors during assessment.