The Crash-NIG factor model: Modeling dependence in credit portfolios through the crisis

Anna Schlösser, Rudi Zagst

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


It is well known that the one-factor copula models are very useful for risk management and measurement applications involving the generation of scenarios for the complete universe of risk factors and the inclusion of CDO structures in a portfolio context. For this objective, it is necessary to have a simple and fast model that is also consistent with the scenario simulation framework. In this paper we present three extensions of the NIG one-factor copula model which jointly have not been considered so far: (1) tranches with different maturities modeled in a consistent way, (2) a portfolio with different rating buckets, relaxing the assumption of a large homogeneous portfolio, and (3) different correlation regimes. The regime-switching component of the proposed Crash-NIG factor model is especially important in view of the current credit crisis. We also introduce liquidity premiums into the Crash-NIG factor model and show that the actual credit crisis is substantially driven by liquidity effects.

Original languageEnglish
Pages (from-to)407-438
Number of pages32
JournalEuropean Actuarial Journal
Issue number2
StatePublished - 1 Dec 2013


  • CDO
  • Copula
  • Default probability
  • Economic scenario generation
  • Factor model correlation
  • Hidden Markov Model
  • Portfolio loss
  • Regime-switching


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