Analyzing credit risk transmission to the nonfinancial sector in Europe: A network approach

B-Tier
Journal: Journal of Applied Econometrics
Year: 2020
Volume: 35
Issue: 1
Pages: 61-81

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:wly:japmet:v:35:y:2020:i:1:p:61-81
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25