ESAIM: Proceedings and Surveys (Jun 2017)

Invariance Properties in the Dynamic Gaussian Copula Model*

  • Crépey Stéphane,
  • Song Shiqi

DOI
https://doi.org/10.1051/proc/201756022
Journal volume & issue
Vol. 56
pp. 22 – 41

Abstract

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Based on Gaussian tail distribution estimates of independent interest, we study the mathematical properties of the default times (or any of their minima) in the dynamic Gaussian copula model. In particular, depending on the value of the correlation parameter ϱ in the model, the so-called invariance property of CrepeySong15c may be satisfied or not. This gives together an example of a model where the invariance property is satisfied but immersion does not hold, for small ϱ and, for larger ϱ an example of a model where the invariance property may not be satisfied.

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