IAI Actuarial Core Principles · Risk Modelling and Survival Analysis · Introduction to copulas
Two random variables have Kendall's tau of 0.5 and are linked by a Gumbel copula with parameter alpha, where tau = 1 - 1/alpha. Which statement is correct?
Solving 0.5 = 1 - 1/alpha gives alpha = 2. The Gumbel copula has upper tail dependence 2 - 2^(1/alpha), which is 2 - sqrt(2), about 0.586, and no lower tail dependence. Independence would need alpha = 1.
- Aalpha = 1.5 and the variables are independent
- Balpha = 2 and the upper tail dependence coefficient is 2 - 2^(1/2)Correct
- Calpha = 2 and the lower tail dependence coefficient is 2 - 2^(1/2)
- Dalpha = 0.5 and the upper tail dependence coefficient is 0
- alpha = 2 and the upper tail dependence coefficient is 0.5
Explanation
From tau = 1 - 1/alpha, 0.5 = 1 - 1/alpha gives alpha = 2. Gumbel upper tail dependence is 2 - 2^(1/alpha) = 2 - sqrt(2), about 0.586. Lower tail dependence is zero for the Gumbel, and independence corresponds to alpha = 1, not 2.
Did you get it right without looking?
One question tells you little. A timed set on Introduction to copulas shows your real accuracy, how long you take and where you lose marks.
More Introduction to copulas questions
- An actuary simulates aggregate losses of two lines using a Gaussian copula with correlation ρ. Which sequence of steps correctly generates a…
- An actuary says a Gaussian copula with correlation 0.6 is applied to two continuous loss variables with different marginal distributions. Wh…
- An insurer models the losses from its motor and home portfolios with fixed marginal distributions and wants to change only the way the two l…
- A bivariate copula C(u,v) is a function defined on the unit square. Which of the following statements is a defining property of a copula?
- Which statement about Archimedean copulas is correct?
- Sklar's theorem is central to copula modelling. Which statement of its implication is correct?