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Persistent link: https://www.econbiz.de/10002688693
This paper suggests a goodness-of-fit test for parametric families of Archimedean copulas for high dimensional distributions. The test statistic is based on the classical chi-square-statistic but has a nonstandard asymptotic distribution. Monte-Carlo simulations show that the test keeps the...
Persistent link: https://www.econbiz.de/10009349860
Persistent link: https://www.econbiz.de/10002244706
A novel, general two-sample hypothesis testing procedure is established for testing the equality of tail copulas associated with bivariate data. More precisely, using an ingenious transformation of a natural two-sample tail copula process, a test process is constructed, which is shown to...
Persistent link: https://www.econbiz.de/10013220179
We propose a new method to test conditional independence of two real random variables $Y$ and $Z$ conditionally on an arbitrary third random variable $X$. The partial copula is introduced, defined as the joint distribution of $U=F_{Y|X}(Y|X)$ and $V=F_{Z|X}(Z|X)$. We call this transformation of...
Persistent link: https://www.econbiz.de/10013136376
We review the main “omnibus procedures” for goodness-of-fit testing for copulas: tests based on the empirical copula process, on probability integral transformations, on Kendall's dependence function, etc, and some corresponding reductions of dimension techniques. The problems of finding...
Persistent link: https://www.econbiz.de/10013097802
The asymptotic behaviour of the empirical copula constructed from residuals of stochastic volatility models is studied. It is shown that if the stochastic volatility matrix is diagonal, then the empirical copula process behaves like if the parameters were known, a remarkable property. However,...
Persistent link: https://www.econbiz.de/10013068847
We review the main “omnibus procedures” for goodness-of-fit testing for copulas: tests based on the empirical copula process, on probability integral transformations, on Kendall's dependence function, etc., and some corresponding reductions of dimension techniques. The problems of finding...
Persistent link: https://www.econbiz.de/10013075565
Let (X1, Y1), … , (Xn, Yn) be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution. The asymptotic joint distribution of the standardized component-wise maxima max( Xi) and max(Yi) is then characterized by the...
Persistent link: https://www.econbiz.de/10013051730