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Will the Bail-in Break the Vicious Circle Between Banks and their Sovereign?

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  • Clara Galliani
  • Stefano Zedda

Abstract

In December 2013 the European Commissioner Barnier, presenting the Single Resolution Mechanism for the resolution and recovery of banking crises, said it will “break the vicious circle between banks and their sovereigns”. But is there any vicious circle? And if so, will resolution tools be able to break it? In literature, the circular nature of the relationship between banking and sovereign debt crises has not yet been properly addressed. Indeed, most papers exclusively focus on one channel of transmission, either quantifying the effects that banking crises have on public finances or analyzing when banking crises may cause sovereign debt crises (or vice-versa). In this paper we propose a computational approach to quantify the effects of this circular relationship and to highlight how sovereign and bank riskiness may increase because of their interconnection. We quantify the effects of bank distress on the banking system itself, passing through the higher public deficit induced by State support, and the subsequent haircut in government bonds. We then test the effectiveness of the bail-in tool proposed in the Single Resolution Mechanism context. The method is tested on four European countries. Results show that, while limited crises tend to be absorbed by the system, serious crises tend to exacerbate at each turn, so that it becomes impossible to stop them without external intervention. Moreover, results show that a bail-in of 8 % of total bank balance sheet can be really effective in breaking the vicious circle and preventing contagion between banks and public finances. This finding supports the bail-in as a valid instrument to avoid taxpayers paying the bill of banking crises. Copyright Springer Science+Business Media New York 2015

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  • Clara Galliani & Stefano Zedda, 2015. "Will the Bail-in Break the Vicious Circle Between Banks and their Sovereign?," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 597-614, April.
  • Handle: RePEc:kap:compec:v:45:y:2015:i:4:p:597-614
    DOI: 10.1007/s10614-014-9436-9
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    Cited by:

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    2. Parrado-Martínez, Purificación & Gómez-Fernández-Aguado, Pilar & Partal-Ureña, Antonio, 2019. "Factors influencing the European bank’s probability of default: An application of SYMBOL methodology," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 223-240.
    3. Fernández-Aguado, Pilar Gómez & Martínez, Eduardo Trigo & Ruíz, Rafael Moreno & Ureña, Antonio Partal, 2022. "Evaluation of European Deposit Insurance Scheme funding based on risk analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 234-247.
    4. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 369-385, January.
    5. Stefano Zedda & Simone Sbaraglia, 2020. "Which interbank net is the safest?," Risk Management, Palgrave Macmillan, vol. 22(1), pages 65-82, March.
    6. Stefano Zedda & Antonella Spinace-Casale, 2021. "Modeling and Simulating Cross Country Banking Contagion Risks," JRFM, MDPI, vol. 14(8), pages 1-16, July.
    7. Hryckiewicz, Aneta & Kryg, Natalia & Tsomocos, Dimitrios P., 2023. "Bank resolution mechanisms revisited: Towards a new era of restructuring," Journal of Financial Stability, Elsevier, vol. 67(C).
    8. João Silvestre, 2017. "Sovereign default contagion: an agent-based model approach," Working Papers Department of Economics 2017/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    9. Xiaoming Zhang & Chunyan Wei & Stefano Zedda, 2019. "Analysis of China Commercial Banks’ Systemic Risk Sustainability through the Leave-One-Out Approach," Sustainability, MDPI, vol. 12(1), pages 1-15, December.

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