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FRM Part I · FRM Exam Part I · Measures of Financial Risk

A loss L takes values 0, 10 and 20 with probabilities 0.36, 0.48 and 0.16. A distortion risk measure is defined as ρ(L) = ∫ g(S(x)) dx over x ≥ 0, where S(x) = P(L > x) and the distortion function is g(s) = √s. What is ρ(L)?

The distortion measure equals 12. The survival function is 0.64 on (0,10) and 0.16 on (10,20), and applying the square-root distortion gives 10×0.8 + 10×0.4 = 12. This exceeds the expected loss of 8 because g inflates tail probabilities.

  1. A8
  2. B16
  3. C12Correct
  4. D20

Explanation

S(x) = P(L > x) = 0.64 for 0 ≤ x < 10 and 0.16 for 10 ≤ x < 20. So ρ = 10·√0.64 + 10·√0.16 = 10(0.8) + 10(0.4) = 12. The expected loss is 10(0.64) + 10(0.16) = 8, which is g(s) = s. Weighting the 20 outcome by 0.4 over its whole range gives 16, which is wrong because S must be integrated by interval.

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