Abstract
We develop an empirical network model to study bilateral sovereign credit risk spillovers during the European debt crisis. We show that the spillover density is typically asymmetric with heavy tails. This confounds efforts to track time-variation in spillover activity using the mean-based summary statistics that are widespread in the literature. Density-based measures — specifically divergence criteria — yield stronger and timelier signals of changes in spillover activity than mean-based measures. This is particularly apparent for sovereign bailouts, which principally affect the tails of the spillover density. Consequently, density-based measures provide valuable additional information about changes in the credit risk environment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.