Bank credit risk networks: Evidence from the Eurozone

• 成果类型: Article
• 署名作者: Brownlees, Christian; Hans, Christina; Nualart, Eulalia
• 署名单位: Pompeu Fabra University; Barcelona School of Economics
• 刊物名称: JOURNAL OF MONETARY ECONOMICS
• ISSN/ISSBN: 0304-3932
• DOI: 10.1016/j.jmoneco.2020.03.014
• 发表日期: 2021
• 关键词: credit risk; networks; CDS; Lasso

摘要

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 inter-connectedness in addition to what is explained by common factors. (C) 2020 Elsevier B.V. All rights reserved.