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Deteriorating Cost Efficiency in Commercial Banks Signals an Increasing Risk of Failure

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  • Anca Podpiera
  • Jiri Podpiera

Abstract

While it is generally consented that management quality is often the key determinant of banks' success in a risky world, somewhat paradoxically early warning systems are mainly built on financial ratios driving management quality assessment to the periphery. In this paper we show, using estimated cost efficiency scores for the Czech banking sector, that cost inefficient management was a predictor of bank failures during the years of banking sector consolidation, and thus suggest the inclusion of cost efficiency in early warning systems.

Suggested Citation

  • Anca Podpiera & Jiri Podpiera, 2005. "Deteriorating Cost Efficiency in Commercial Banks Signals an Increasing Risk of Failure," Working Papers 2005/06, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2005/06
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    References listed on IDEAS

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    Cited by:

    1. Zuzana Irsova & Tomas Havranek, 2011. "Bank Efficiency in Transitional Countries: Sensitivity to Stochastic Frontier Design," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 230-270, December.
    2. Koutsomanoli-Filippaki, Anastasia & Mamatzakis, Emmanuel, 2009. "Performance and Merton-type default risk of listed banks in the EU: A panel VAR approach," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2050-2061, November.
    3. Havranek, Tomas & Irsova, Zuzana & Lesanovska, Jitka, 2016. "Bank efficiency and interest rate pass-through: Evidence from Czech loan products," Economic Modelling, Elsevier, vol. 54(C), pages 153-169.
    4. Podpiera, Jiri & Weill, Laurent, 2008. "Bad luck or bad management? Emerging banking market experience," Journal of Financial Stability, Elsevier, vol. 4(2), pages 135-148, June.
    5. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
    6. Saeed, Momna & Izzeldin, Marwan, 2016. "Examining the relationship between default risk and efficiency in Islamic and conventional banks," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 127-154.
    7. Elmas Yaldiz & Flavio Bazzana, 2010. "The effect of market power on bank risk taking in Turkey," Financial Theory and Practice, Institute of Public Finance, vol. 34(3), pages 297-314.
    8. Benjamin M. Tabak & Giovana L. Craveir & Daniel O. Cajueiro, 2011. "Bank Efficiency and Default in Brazil: Causality Tests," Working Papers Series 253, Central Bank of Brazil, Research Department.
    9. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    10. Anggraeni, Anggraeni & Mongid, Abdul & Suhartono,, 2020. "Prediction Models for Bank Failure: ASEAN Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(2), pages 41-51.
    11. Md. Hashibul Hassan & Mahmudul Hassan, 2018. "Cost efficiency of banking sector of Bangladesh: evidence using the stochastic frontier analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 8(6), pages 208-224, June.
    12. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    13. Michael O. Nyong, 2017. "Relative Efficiency of Commercial Banks in Nigeria: A Nonparametric Mathematical Optimization Analysis," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 2(2), pages 27-49, February.

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    More about this item

    Keywords

    Bank failure; cost efficiency; stochastic frontier; hazard model.;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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