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An assumption of normality when returns data have fat tails leads to: I. underestimation of VaR at high confidence levels II. overestimation of VaR at low confidence levels III. overestimation of VaR at high confidence levels IV. underestimation of VaR at low confidence levels
Correct Answer: A
Explanation When returns are non-normal and have fat tails, an assumption of normality in returns leads to underestimation of VaR at high confidence levels. At the same time, at lower confidence levels the normal distribution may give higher VaR estimates. Therefore Choice 'a' is correct. The other choices are incorrect. Also refer to the tutorial about VaR and heavy tails.