The sovereign-bank nexus in the face of the COVID-19 pandemic outbreak: Evidence from EU member states

Artikel

The major focus of this paper is on the sovereign-banks relationship following the COVID- 19 pandemic crisis outbreak, with a view to gaining an insight into banks' exposure to the sovereign. We rely on a series of complementary research approaches, such as desk research, comparative statistical analysis, exploratory learning algorithm, and a deterministic panel regression framework. The analysis reveals that most EU countries were not prepared for the pandemic crisis as they lacked a financial security buffer. The growing fiscal pressure and lockdown restrictions additionally resulted in an increase in banks' exposure to the government debt market and higher government debt securities exposure on their balance sheets. One of the novelties of the research is the adoption of the gap method in order to measure the changes between banking assets major items (government securities vs. loans) and uncovering the preference for holding a specific type of asset. Additional insight is brought by the clustering solution, which shows increased cross-country heterogeneity in terms of the sovereign-banks relationship. Empirical research shows that banks' involvement in the sovereign debt market is sensitive mainly to negative information related to pandemic occurrence and, to a lower extent, to positive information reflected by government's reactions and economic stimulus measures. In addition, our results reveal there is no crowding-out effect triggered by the pandemic, in terms of lending to the sovereign against lending to the real economy. In the pandemic onset banks did not proceed to a sharp portfolio rebalancing in favor of the sovereign.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Risks ; ISSN: 2227-9091 ; Volume: 9 ; Year: 2021 ; Issue: 5 ; Pages: 1-21 ; Basel: MDPI

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models ; Banks; Depository Institutions; Micro Finance Institutions; Mortgages ; National Debt; Debt Management; Sovereign Debt
• Thema: sovereigns ; banks ; government debt ; banking loans ; pandemic ; COVID-19 ; clusteranalysis ; panel regression

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Boitan, Iustina Alina ; Marchewka-Bartkowiak, Kamilla
• Ereignis: Veröffentlichung
• (wer): MDPI
• (wo): Basel
• (wann): 2021

Weitere Informationen

• DOI: doi:10.3390/risks9050098
• Handle: http://hdl.handle.net/10419/258186
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ