A simple non-parametric goodness-of-fit test for elliptical copulas

Miriam Jaser, Stephan Haug, Aleksey Min

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this paper, we propose a simple non-parametric goodness-of-fit test for elliptical copulas of any dimension. It is based on the equality of Kendall's tau and Blomqvist's beta for all bivariate margins. Nominal level and power of the proposed test are investigated in a Monte Carlo study. An empirical application illustrates our goodness-of-fit test at work.

Original languageEnglish
Pages (from-to)330-353
Number of pages24
JournalDependence Modeling
Volume5
Issue number1
DOIs
StatePublished - 2017

Keywords

  • Blomqvist's beta
  • Elliptical copulas
  • Goodness-of-fit test
  • Kendall's tau

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