BiCopPar2TailDep: Tail dependence coefficients of a bivariate copula

Description

This function computes the theoretical tail dependence coefficients of a bivariate copula for given parameter values.

Usage

BiCopPar2TailDep(family, par, par2=0)

Arguments

family

An integer defining the bivariate copula family: 0 = independence copula 1 = Gaussian copula 2 = Student t copula (t-copula) 3 = Clayton copula 4 = Gumbel copula 5 = Frank

par

Copula parameter.

par2

Second parameter for the two parameter t-, BB1 and BB7 copulas (default: par2 = 0).

Value

lowerLower tail dependence coefficient of the given bivariate copula family $C$: $$\lambda_L = \lim_{u\searrow 0}\frac{C(u,u)}{u}$$
upperUpper tail dependence coefficient of the given bivariate copula family $C$: $$\lambda_U = \lim_{u\nearrow 1}\frac{1-2u+C(u,u)}{1-u}$$
Lower and upper tail dependence coefficients for bivariate copula families and parameters ($\theta$ for one parameter families and the first parameter of the t-copula with $\nu$ degrees of freedom, $\theta$ and $\delta$ for the two parameter BB1 and BB2 copulas) are given in the following table. lll{ No. Lower tail dependence Upper tail dependence 1 - - 2 $2t_{\nu+1}\left(-\sqrt{\nu+1}\sqrt{\frac{1-\theta}{1+\theta}}\right)$ $2t_{\nu+1}\left(-\sqrt{\nu+1}\sqrt{\frac{1-\theta}{1+\theta}}\right)$ 3 $2^{-1/\theta}$ - 4 - $2-2^{1/\theta}$ 5 - - 6 - $2-2^{1/\theta}$ 7 $2^{-1/(\theta\delta)}$ $2-2^{1/\delta}$ 9 $2^{-1/\delta}$ $2-2^{1/\theta}$ 13 - $2^{-1/\theta}$ 14 $2-2^{1/\theta}$ - 16 $2-2^{1/\theta}$ - 23, 33 - - 24, 34 - - 26, 36 - - }

References

Joe, H. (1997). Multivariate Models and Dependence Concepts. Chapman and Hall, London.

Examples

Run this code

## Example 1: Gaussian copula
BiCopPar2TailDep(1,0.7)

## Example 2: t copula
BiCopPar2TailDep(2,0.7,4)