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Bank Bailouts In Europe And Bank Performance

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  • 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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    References listed on IDEAS

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    1. De Bruyckere, Valerie & Gerhardt, Maria & Schepens, Glenn & Vander Vennet, Rudi, 2013. "Bank/sovereign risk spillovers in the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4793-4809.
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    6. Rose, Andrew & Wieladek, Tomasz, 2012. "Too big to fail: some empirical evidence on the causes and consequences of public banking interventions in the United Kingdom," Bank of England working papers 460, Bank of England.
    7. Mr. Tigran Poghosyan & Mr. Martin Cihak, 2009. "Distress in European Banks: An Analysis Basedon a New Dataset," IMF Working Papers 2009/009, International Monetary Fund.
    8. Cihák, Martin & Schaeck, Klaus, 2010. "How well do aggregate prudential ratios identify banking system problems?," Journal of Financial Stability, Elsevier, vol. 6(3), pages 130-144, September.
    9. Arena, Marco, 2008. "Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 299-310, February.
    10. Mergaerts, Frederik & Vander Vennet, Rudi, 2016. "Business models and bank performance: A long-term perspective," Journal of Financial Stability, Elsevier, vol. 22(C), pages 57-75.
    11. Rose, Andrew K. & Wieladek, Tomasz, 2012. "Too big to fail: Some empirical evidence on the causes and consequences of public banking interventions in the UK," Journal of International Money and Finance, Elsevier, vol. 31(8), pages 2038-2051.
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Lamers, Martien & Present, Thomas & Vander Vennet, Rudi, 2022. "European bank profitability: The great convergence?," Finance Research Letters, Elsevier, vol. 49(C).
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    11. 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).
    12. 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).

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    More about this item

    Keywords

    Bank bailout; state aid; financial crisis; logit analysis;
    All these keywords.

    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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