IDEAS home Printed from
   My bibliography  Save this paper

Dependence modelling of the joint extremes in a portfolio using Archimedean copulas : application to MSCI indices


  • Dominique Guegan

    () (IDHE)

  • Sophie A. Ladoucette

    () (IDHE)


Using Archimedean copulas, we investigate the dependence structure existing between several series of financial assets log-returns that come from different markets. These series are considered as components of a portfolio and they are investigated on a long period including high shocks. To perform such a study, we model the tail of their joint distribution function using a dependence measure (Kendall's tau) and its relationship with the class of Archimedean copulas. Then, we define two different diagnostics to decide which copula best fits the tail of the empirical joint distribution. This approach permits us to understand the evolution of the interdependence of more than two markets in the tails, that is when extremal events corresponding to shocks induce some turmoil in the evolution of these markets.

Suggested Citation

  • Dominique Guegan & Sophie A. Ladoucette, 2005. "Dependence modelling of the joint extremes in a portfolio using Archimedean copulas : application to MSCI indices," Cahiers de la Maison des Sciences Economiques b05101, Université Panthéon-Sorbonne (Paris 1).
  • Handle: RePEc:mse:wpsorb:b05101

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    More about this item


    Archimedean copulas; estimation theory; Kendall's tau; multivariate extremes; portfolio.;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mse:wpsorb:b05101. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lucie Label). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.