FRM Part II · FRM Exam Part II · Parametric Approaches (II): Extreme Value
An analyst applies the block maxima approach to daily losses, taking the maximum loss in each block of 250 trading days. According to the Fisher-Tippett-Gnedenko theorem, the properly normalized block maxima converge to which distribution family?
Normalized block maxima converge to the generalized extreme value (GEV) distribution, according to the Fisher-Tippett-Gnedenko theorem. The generalized Pareto distribution applies to threshold exceedances instead, so it is the wrong family for block maxima.
- AThe generalized extreme value (GEV) distributionCorrect
- BThe generalized Pareto distribution
- CThe normal distribution
- DThe Student t distribution
Explanation
The Fisher-Tippett theorem says normalized maxima of iid observations converge to the GEV family (Gumbel, Frechet, Weibull). The generalized Pareto distribution describes exceedances over a high threshold in the peaks-over-threshold approach, not block maxima. Normal and t are not limiting laws for maxima.
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