Abstract

ABSTRACT This study investigates the copula model that best fit to model the dependence structure of Credit Derivative Swaps (CDS) spreads. For the analysis, we consider daily data from the period of January 1, 2009 to December 31, 2014. Regarding the models, we considered Vine copulas and Hierarchical Archimedean copulas, and different families of copulas. Our results indicate that C-Vine copulas, as well Student t family, demonstrated better performance, according to the criteria used to get the dependence structure. The best fit of the dependence structure can avoid the model risk, from the use of an incorrect model.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call