Analyzing credit risk transmission to the non- financial sector in Europe: A network approach
| dc.contributor.author | Gross, C. | |
| dc.contributor.author | Siklos, Pierre L. | |
| dc.date.accessioned | 2025-04-02T02:52:13Z | |
| dc.date.available | 2025-04-02T02:52:13Z | |
| dc.date.issued | 2019-03 | |
| dc.description.abstract | We use a factor model and elastic net shrinkage to model a high-dimensional network of European CDS spreads. Our empirical approach allows us to assess the joint transmission of bank and sovereign risk to the non-financial corporate sector. Our findings identify a sectoral clustering in the CDS network, where financial institutions are in the center and non-financial 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. | |
| dc.identifier.issn | 2206-0332 | |
| dc.identifier.uri | https://hdl.handle.net/1885/733745775 | |
| dc.language.iso | en_AU | |
| dc.provenance | The publisher permission to make it open access was granted in November 2024 | |
| dc.publisher | Crawford School of Public Policy, The Australian National University | |
| dc.relation.ispartofseries | CAMA Working Paper 43/2019 | |
| dc.rights | Author(s) retain copyright | |
| dc.source | Centre for Applied Macroeconomic Analysis Working Papers | |
| dc.source.uri | https://crawford.anu.edu.au | |
| dc.title | Analyzing credit risk transmission to the non- financial sector in Europe: A network approach | |
| dc.type | Working/Technical Paper | |
| dcterms.accessRights | Open Access | |
| dspace.entity.type | Publication | |
| local.bibliographicCitation.issue | 43/2019 | |
| local.type.status | Published Version |