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Bank Bailouts In Europe And Bank Performance

Author

Listed:
  • Maria Gerhardt
  • Rudi Vander Vennet

Abstract

During the financial crisis, European governments implemented emergency rescue packages to support struggling banks. No less than 114 European banks benefited from goverment support in the period 2007 to 2013. We investigate the financial condition of banks before and after receiving state support by running logit regressions. Our results indicate that the equity ratio is the decisive indicator to predict distress. Bank-specific variables, such as loan provision, nonperforming loans and bank size also perform well in detecting bank bailouts. Surprisingly, the aided banks hardly improve their performance indicators after they have been rescued but maintain similar risk profiles/business models.

Suggested Citation

  • Maria Gerhardt & Rudi Vander Vennet, 2016. "Bank Bailouts In Europe And Bank Performance," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/921, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:16/921
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    File URL: http://wps-feb.ugent.be/Papers/wp_16_921.pdf
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    Cited by:

    1. Serhat Yuksel & Hasan Dincer & Senol Emir, 2017. "Comparing the performance of Turkish deposit banks by using DEMATEL, Grey Relational Analysis (GRA) and MOORA approaches," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 3(2), pages 26-47, December.
    2. Zhou, Wei & Gu, Ruitao & Lu, Shuai, 2020. "Penetrating the real performance of SSE STAR enterprises: A double-market investigation," Finance Research Letters, Elsevier, vol. 37(C).
    3. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
    4. Sivá, Soňa, 2025. "The effects of government bailouts on bank performance in the EU," Finance Research Letters, Elsevier, vol. 79(C).
    5. Shy, Oz, 2025. "Faster bank runs," European Economic Review, Elsevier, vol. 172(C).
    6. Cuadros-Solas, Pedro J. & Salvador, Carlos & Suárez, Nuria, 2021. "Am I riskier if I rescue my banks? Beyond the effects of bailouts," Journal of Financial Stability, Elsevier, vol. 56(C).
    7. Michael Sigmund & Kevin Zimmermann, 2021. "Determinants of Contingent Convertible Bond Coupon Rates of Banks: An Empirical Analysis (Michael Sigmund, Kevin Zimmermann)," Working Papers 236, Oesterreichische Nationalbank (Austrian Central Bank).
    8. Simona Nistor & Steven Ongena, 2023. "The Impact of Policy Interventions on Systemic Risk across Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 155-206, October.
    9. Daniele Petrone & Neofytos Rodosthenous & Vito Latora, 2022. "An AI approach for managing financial systemic risk via bank bailouts by taxpayers," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    10. Lamers, Martien & Present, Thomas & Vander Vennet, Rudi, 2022. "European bank profitability: The great convergence?," Finance Research Letters, Elsevier, vol. 49(C).
    11. Huizinga, Harry, 2019. "The Next SSM Term: Supervisory Challenges Ahead," Other publications TiSEM 2fc6839b-ae39-4c1c-b254-c, Tilburg University, School of Economics and Management.
    12. Carbó-Valverde, Santiago & Cuadros-Solas, Pedro J. & Rodríguez-Fernández, Francisco, 2020. "Do bank bailouts have an impact on the underwriting business?," Journal of Financial Stability, Elsevier, vol. 49(C).
    13. Kung, Ming-Hsin & Chang, Chuang-Chang & Hsiao, Yu-Jen & Lo, Wen-Chi & Chang, Bi-Juan, 2024. "Banks can help? Evidence in the speed of lending for COVID-19 personal relief loans and financial inclusion," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    14. de Haan, Jakob & Fang, Yi & Jing, Zhongbo, 2020. "Does the risk on banks’ balance sheets predict banking crises? New evidence for developing countries," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 254-268.
    15. Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).

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    Keywords

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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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