Actuarial Notes

SOA Exam ASTAM Fall 2025, Question 3

Study guide: Exam ASTAM

The loss severity random variable X has a Uniform distribution on the interval [a, b]. We denote this by X \sim \text{Unif}(a, b).

You are given that the survival function of X is S_X(x) = \dfrac{b - x}{b - a}, \quad a < x < b.

Let Y = X - d \mid X > d denote the excess loss random variable where 0 \le a \le d < b.

Part a (2 points)

Show that Y \sim \text{Unif}(0, b - d).

Part b (3 points)

Now let a = 0, b = 10, and d = 2.

Let H_\xi denote the Generalized Extreme Value distribution with parameter \xi. You are given that Y is in the MDA of H_\xi with \xi = -1. Derive the normalizing sequences, c_n and d_n, for the limiting extreme value distribution of Y.

Part c (2 points)

Let Y_1, Y_2, \ldots, Y_n be independent and identically distributed random variables such that Y_j \sim \text{Unif}(0, 8) for j = 1, 2, \cdots, n, and let M_n = \max\{Y_1, Y_2, \cdots, Y_n\}.

(i) Calculate \Pr[M_{10} \le 7] directly.

(ii) Estimate \Pr[M_{10} \le 7] using the limiting extreme value distribution.

Part d (2 points)

(i) State with reasons whether Y is in the MDA of the Fréchet, Gumbel, or Weibull Extreme Value (EV) distribution.

(ii) Describe one key difference between the Weibull EV distribution and the Gumbel distribution.

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Concepts tested

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