• Title of article

    Parametric tail copula estimation and model testing

  • Author/Authors

    de Haan، نويسنده , , Laurens and Neves، نويسنده , , Clلudia and Peng، نويسنده , , Liang، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2008
  • Pages
    16
  • From page
    1260
  • To page
    1275
  • Abstract
    Parametric models for tail copulas are being used for modeling tail dependence and maximum likelihood estimation is employed to estimate unknown parameters. However, two important questions seem unanswered in the literature: (1) What is the asymptotic distribution of the MLE and (2) how does one test the parametric model? In this paper, we answer these two questions in the case of a single parameter for ease of illustration. A simulation study is provided to investigate the finite sample performance of the proposed estimator and test.
  • Keywords
    Extreme values , Maximum likelihood estimation , Tail copula , Empirical tail copula
  • Journal title
    Journal of Multivariate Analysis
  • Serial Year
    2008
  • Journal title
    Journal of Multivariate Analysis
  • Record number

    1558929