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What lies behind the (Too-Small-To-Survive) banks?

Author

Listed:
  • Theoharry Grammatikos,
  • Nikolaos I. Papanikolaou

    (LSF)

Abstract

It is a common place that during financial crises, like the one started in 2007, authorities provide substantial financial support to some problem banks, whilst at the same time let several others to go bankrupt. Is this happening because some particular banks are considered important and big enough to save, whereas some others are perceived as being ?Too-Small-To-Survive ? Is the size of banks the fundamental factor that makes authorities to treat them differently, or it is also that some banks perform poorly and are not capable of withstanding some considerable shocks whatsoever? Our study provides concrete answers to these questions thus filling part of the void in the existing literature. A short- and a long-run positive relationship between size and performance is documented regardless of the level of bank soundness (healthy vs. failed and assisted banks) under scrutiny. Importantly, we pose and lend support to the ?Too-Small-To-Survive hypothesis according to which the impact of bank performance on failure probability strongly depends on size. Evidence shows that authorities tend not to save banks whose size is below some specific threshold.

Suggested Citation

  • Theoharry Grammatikos, & Nikolaos I. Papanikolaou, 2013. "What lies behind the (Too-Small-To-Survive) banks?," DEM Discussion Paper Series 13-12, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:13-12
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    2. Jean J. Gabszewicz & Skerdilajda Zanaj, 2015. "(Un)stable vertical collusive agreements," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(3), pages 924-939, August.
    3. Cristina Pardo-Garcia & Jose Sempere-Monerris, 2015. "Equilibrium mergers in a composite good industry with efficiencies," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 101-127, March.
    4. RUSSO, Federica & MOUCHART, Michel & WUNSCH, Guillaume, 2013. "Confounding and control in a multivariate system. An issue in causal attribution," LIDAM Discussion Papers CORE 2013068, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. DI SUMMA, Marco, 2013. "The convex hull of the all-different system with the inclusion property: a simple proof," LIDAM Discussion Papers CORE 2013069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    More about this item

    Keywords

    CAMEL ratings ; financial crisis ; bank size ; ?Too-Small-To-Survive ; banks ;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • G01 - Financial Economics - - General - - - Financial Crises

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