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Analyzing credit risk transmission to the non- financial sector in Europe: A network approach

dc.contributor.authorGross, C.
dc.contributor.authorSiklos, Pierre L.
dc.date.accessioned2025-04-02T02:52:13Z
dc.date.available2025-04-02T02:52:13Z
dc.date.issued2019-03
dc.description.abstractWe 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.issn2206-0332
dc.identifier.urihttps://hdl.handle.net/1885/733745775
dc.language.isoen_AU
dc.provenanceThe publisher permission to make it open access was granted in November 2024
dc.publisherCrawford School of Public Policy, The Australian National University
dc.relation.ispartofseriesCAMA Working Paper 43/2019
dc.rightsAuthor(s) retain copyright
dc.sourceCentre for Applied Macroeconomic Analysis Working Papers
dc.source.urihttps://crawford.anu.edu.au
dc.titleAnalyzing credit risk transmission to the non- financial sector in Europe: A network approach
dc.typeWorking/Technical Paper
dcterms.accessRightsOpen Access
dspace.entity.typePublication
local.bibliographicCitation.issue43/2019
local.type.statusPublished Version

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