IAI Actuarial Core Principles · Risk Modelling and Survival Analysis · Introduction to extreme value theory
The Generalised Extreme Value (GEV) distribution has distribution function G(x) = exp{-[1 + ξ((x-μ)/σ)]^(-1/ξ)} for ξ ≠ 0. Which sign of the shape parameter ξ corresponds to the Fréchet case, with a heavy upper tail?
The Fréchet case corresponds to a positive shape parameter ξ. Its upper tail is unbounded and decays polynomially, so it is heavy. A zero shape gives Gumbel with exponential decay, and a negative shape gives the Weibull type with a finite upper endpoint.
- Aξ > 0Correct
- Bξ = 0
- Cξ < 0
- Dξ = 1 only
- ξ = -1 only
Explanation
The GEV family contains three types by the sign of ξ. A positive ξ gives the Fréchet distribution, with an unbounded upper tail that decays like a power law. ξ = 0 is Gumbel, and ξ < 0 is the Weibull type with a finite upper endpoint.
Did you get it right without looking?
One question tells you little. A timed set on Introduction to extreme value theory shows your real accuracy, how long you take and where you lose marks.
More Introduction to extreme value theory questions
- Annual maximum flood losses at a site are modelled by a GEV distribution with μ = 100, σ = 20 and ξ = 0 (Gumbel), in Rs crore. What is the p…
- In the peaks-over-threshold method, an analyst chooses a threshold that is set too low. What is the most likely consequence?
- X1, ..., Xn are independent Exponential variables with rate 1, and Mn is their maximum. Which statement about the limiting behaviour of Mn -…
- An analyst fits a generalised Pareto distribution (GPD) to exceedances over a threshold u using maximum likelihood. Which of the following b…
- In the Peaks over Threshold (POT) approach to extreme value theory, which statement best describes the quantity that is modelled with the Ge…
- Annual maximum flood losses are modelled by a Gumbel distribution H(x) = exp(-exp(-(x - 50)/10)), with x in Rs crore. What is the probabilit…