An asymmetric DCC analysis of correlations among bank CDS indices
AbstractThis study explores the time-varying correlations among the bank industry Credit Default Swap (CDS) indices for the EU, the UK and the US, using the asymmetric Dynamic Conditional Correlation (DCC) model developed by Cappiello et�al . (2006). The main findings of the study include: (i) The correlations between each pair of bank CDS indices vary substantially over time. (ii) There is evidence of asymmetric dynamic correlations between the EU and the UK bank CDS indices. The correlations between them tend to be higher when responding to joint downward shocks. (iii) The conditional correlations between the US bank CDS and the UK and the EU bank CDS, respectively, exhibited significant drops immediately after the collapse of Lehman Brothers during the global financial crisis. (iv) The sovereign debt crisis dummy in Autoregressive (AR) models, applied to the estimated DCCs, is significantly positive for the UK and US bank CDSs, as shown by the increased correlations after the onset of the debt crisis.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 23 (2013)
Issue (Month): 6 (March)
Contact details of provider:
Web page: http://www.tandfonline.com/RAFE20
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.