Bank credit risk networks: Evidence from the Eurozone

Christian Brownlees, Christina Hans and Eulalia Nualart

Journal of Monetary Economics, 2021, vol. 117, issue C, 585-599

Abstract: This work proposes a credit risk model for large panels of financial institutions in which default intensity interdependence is induced by exposure to common factors as well as dependence between entity specific idiosyncratic shocks. In particular, the idiosyncratic shocks have a sparse partial correlation structure that we call the bank credit risk network. A lasso estimation procedure is introduced to recover the network from CDS data. The methodology is used to study credit risk interdependence among European financial institutions. The analysis shows that the network captures a substantial amount of interconnectedness in addition to what is explained by common factors.

Keywords: Credit risk; Networks; CDS; Lasso (search for similar items in EconPapers)
JEL-codes: C33 C55 E44 F36 G12 G13 G15 G18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030439322030043X
Full text for ScienceDirect subscribers only

Related works:
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:eee:moneco:v:117:y:2021:i:c:p:585-599

DOI: 10.1016/j.jmoneco.2020.03.014

Access Statistics for this article

Journal of Monetary Economics is currently edited by R. G. King and C. I. Plosser

More articles in Journal of Monetary Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().