• Medientyp: E-Artikel
  • Titel: Limiting dependence structures for tail events, with applications to credit derivatives
  • Beteiligte: Charpentier, Arthur; Juri, Alessandro
  • Erschienen: Cambridge University Press (CUP), 2006
  • Erschienen in: Journal of Applied Probability, 43 (2006) 2, Seite 563-586
  • Sprache: Englisch
  • DOI: 10.1017/s0021900200001832
  • ISSN: 0021-9002; 1475-6072
  • Schlagwörter: Statistics, Probability and Uncertainty ; General Mathematics ; Statistics and Probability
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:p>Dependence structures for bivariate extremal events are analyzed using particular types of copula. Weak convergence results for copulas along the lines of the Pickands-Balkema-de Haan theorem provide limiting dependence structures for bivariate tail events. A characterization of these limiting copulas is also provided by means of invariance properties. The results obtained are applied to the credit risk area, where, for intensity-based default models, stress scenario dependence structures for widely traded products such as credit default swap baskets or first-to-default contract types are proposed.</jats:p>