FRM Part II · FRM Exam Part II · Parametric Approaches (II): Extreme Value
A risk manager chooses the threshold u when applying POT to daily losses. Which consequence correctly describes the threshold trade-off?
Setting the threshold is a bias-variance trade-off. A high threshold leaves few exceedances, so parameter estimates have high variance. A low threshold brings in non-tail data where the GPD approximation is poor, so estimates are biased. Neither extreme is costless, and the shape estimate depends on the threshold.
- AA very high threshold leaves few exceedances, increasing the variance of parameter estimates, while a low threshold risks bias because the GPD approximation may not holdCorrect
- BA very low threshold lowers both bias and variance because more data are used
- CA very high threshold increases bias because the GPD fits poorly far in the tail
- DThe threshold has no effect on the estimated shape parameter if maximum likelihood is used
Explanation
Choosing u involves a bias-variance trade-off. Too high a threshold leaves few observations, so estimates are noisy (high variance). Too low a threshold includes non-tail observations where the GPD approximation fails, creating bias. Estimates of ξ generally change with u.
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