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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
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Citations: View citations in EconPapers (14)

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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) Downloads
Working Paper: Analyzing credit risk transmission to the non-financial sector in Europe: a network approach (2019) Downloads
Working Paper: Analyzing Credit Risk Transmission to the Non-Financial Sector in Europe: A Network Approach (2018) Downloads
Working Paper: Analyzing credit risk transmission to the non-financial sector in Europe: a network approach (2018) Downloads
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