We introduce a new functional measure of tail dependence for weakly dependent
(asymptotically independent) random vectors, termed weak tail dependence
function. The new measure is defined at the level of copulas and we compute it
for several copula families such as the Gaussian copula, copulas of a class of
Gaussian mixture models, certain Archimedean copulas and extreme value copulas.
The new measure allows to quantify the tail behavior of certain functionals of
weakly dependent random vectors at the log scale.Comment: Replaced with revised versio