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### Coefficient of tail dependence of a Clayton copula

Bivariate Archimedean copulas are copulas that take the form  for some suitable function  where  is the inverse function of  (not its reciprocal). A special case is the Clayton copula, which has  where .

The coefficient of (joint lower) tail dependence is defined as . For the Clayton copula this can take any value in the range . This is because  since then (for ):

Hence the (bivariate) Clayton copula is: .

So the coefficient of (joint lower) tail dependence for the (bivariate) Clayton copula is:

As  this tends to 0 from above, and as  this tends to 1 from below and can take any intermediate value, i.e. the range of lower tail dependences that the Clayton copula can exhibit is the range (0,1).

For an arbitrary copula the coefficient of tail dependence, , can in addition take the values 0 (e.g. the independence copula or any Gaussian copula that does not involve perfect correlation) or 1 (e.g. perfectly correlated Gaussian copula) or it may be ill-defined, i.e. it may not exist.