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Differences in Efficiency between Banks in Financial Conglomerates and other Banks in the Banking Sectors in Visegrad Countries

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  • Iveta Palečková

    (Department of Finance and Accounting, School of Business Administration, Silesian University)

Abstract

The aim of this paper is to estimate the differences in efficiency between banks in four financial conglomerates and other banks in the banking sectors in Visegrad countries within the period 2005-2015. In line with the aim of the paper, the research question is stated as follows: Are banks that belong to financial conglomerates more efficient than other banks in the banking sectors in the Visegrad countries? We analysed banks from four financial conglomerates: Erste Group, Société Généralé Group, UniCredit Group and KBC Group. Moreover we estimated the efficiency of commercial banks in the Visegrad countries using the Dynamic Data Envelopment Analysis (DEA) approach. We did not find the statistical significant differences in efficiency between banks that belong to a financial conglomerate and other banks in the banking sectors in the Visegrad countries.

Suggested Citation

  • Iveta Palečková, 2018. "Differences in Efficiency between Banks in Financial Conglomerates and other Banks in the Banking Sectors in Visegrad Countries," Working Papers 0052, Silesian University, School of Business Administration.
  • Handle: RePEc:opa:wpaper:0052
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Mamatzakis, Emmanuel & Staikouras, Christos & Koutsomanoli-Filippaki, Anastasia, 2008. "Bank efficiency in the new European Union member states: Is there convergence?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1156-1172, December.
    3. Inha Oh & Jeong-Dong Lee & Almas Heshmati & Gyoung-Gyu Choi, 2009. "Evaluation of credit guarantee policy using propensity score matching," Small Business Economics, Springer, vol. 33(3), pages 335-351, October.
    4. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
    5. 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.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    8. George Anayiotos & Hovhannes Toroyan & Athanasios Vamvakidis, 2010. "The efficiency of emerging Europe’s banking sector before and after the recent economic crisis," Financial Theory and Practice, Institute of Public Finance, vol. 34(3), pages 247-267.
    9. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    10. Koutsomanoli-Filippaki, Anastasia & Margaritis, Dimitris & Staikouras, Christos, 2009. "Efficiency and productivity growth in the banking industry of Central and Eastern Europe," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 557-567, March.
    11. Linda S. Goldberg, 2016. "Cross-Border Banking Flows and Organizational Complexity in Financial Conglomerates," World Scientific Book Chapters, in: Asli Demirgüç-Kunt & Douglas D Evanoff & George G Kaufman (ed.), The Future of Large, Internationally Active Banks, chapter 4, pages 55-66, World Scientific Publishing Co. Pte. Ltd..
    12. Vander Vennet, Rudi, 2002. "Cost and Profit Efficiency of Financial Conglomerates and Universal Banks in Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 254-282, February.
    13. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    14. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    15. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
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    More about this item

    Keywords

    efficiency; Dynamic Data Envelopment Analysis; banking sector; financial conglomerate; propensity score matching; Visegrad countries;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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