Analyzing credit risk transmission to the nonfinancial sector in Europe: A network approach
Christian Gross () and
Pierre Siklos
Journal of Applied Econometrics, 2020, vol. 35, issue 1, 61-81
Abstract:
We use a factor model and elastic net shrinkage to model a high‐dimensional network of European credit default swap (CDS) spreads. Our empirical approach allows us to assess the joint transmission of bank and sovereign risk to the nonfinancial corporate sector. Our findings identify a sectoral clustering in the CDS network, where financial institutions are in the center and nonfinancial entities as well as sovereigns are grouped around the financial center. The network has a geographical component reflected in different patterns of real‐sector risk transmission across countries. Our framework also provides dynamic estimates of risk transmission, a useful tool for systemic risk monitoring.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
https://doi.org/10.1002/jae.2726
Related works:
Working Paper: Analyzing credit risk transmission to the non-financial sector in Europe: A network approach (2019) 
Working Paper: Analyzing credit risk transmission to the non-financial sector in Europe: a network approach (2019) 
Working Paper: Analyzing Credit Risk Transmission to the Non-Financial Sector in Europe: A Network Approach (2018) 
Working Paper: Analyzing credit risk transmission to the non-financial sector in Europe: a network approach (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:japmet:v:35:y:2020:i:1:p:61-81
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().