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Evaluating the financial performance of bank branches

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  • Jesús Pastor
  • C. Lovell
  • Henry Tulkens

Abstract

We evaluate the financial performance of most of the branch offices of a large European savings bank for a recent accounting period. We employ a complementary pair of nonparametric techniques to evaluate their financial performance, in terms of their ability to conserve on the expenses they incur in building their customer bases and providing customer services. We find variation in the ability of branch offices to perform this task, and agreement on the identity of the laggard branches. We then employ parametric techniques to determine that the list of indicators on which their financial performance is evaluated can be reduced without statistically significant loss of information to bank management. Both findings suggest ways in which the bank can increase the profitability of its branch network. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • Jesús Pastor & C. Lovell & Henry Tulkens, 2006. "Evaluating the financial performance of bank branches," Annals of Operations Research, Springer, vol. 145(1), pages 321-337, July.
    • Handle: RePEc:spr:annopr:v:145:y:2006:i:1:p:321-337:10.1007/s10479-006-0038-3
    DOI: 10.1007/s10479-006-0038-3
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    Cited by:

    1. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    2. Wen-Chih Chen & Andrew Johnson, 2010. "The dynamics of performance space of Major League Baseball pitchers 1871–2006," Annals of Operations Research, Springer, vol. 181(1), pages 287-302, December.
    3. Christos Floros, 2020. "Banking Development and Economy in Greece: Evidence from Regional Data," JRFM, MDPI, vol. 13(10), pages 1-13, October.
    4. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    5. Eskelinen, Juha, 2017. "Comparison of variable selection techniques for data envelopment analysis in a retail bank," European Journal of Operational Research, Elsevier, vol. 259(2), pages 778-788.
    6. Panagiotis Tziogkidis & Kent Matthews & Dionisis Philippas, 2018. "The effects of sector reforms on the productivity of Greek banks: a step-by-step analysis of the pre-Euro era," Annals of Operations Research, Springer, vol. 266(1), pages 531-549, July.
    7. Thanh, Ngo, 2011. "Effectiveness of the Global Banking System in 2010: A Data Envelopment Analysis approach," MPRA Paper 56389, University Library of Munich, Germany.
    8. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 708-728, September.
    9. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    10. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    11. Shamima Islam & Rakibul Islam, 2022. "Measurement of Financial Performance of Rupali Bank Limited," International Journal of Science and Business, IJSAB International, vol. 15(1), pages 45-56.
    12. Fatemeh Boloori & Jafar Pourmahmoud, 2016. "A modified SBM-NDEA approach for the efficiency measurement in bank branches," Operational Research, Springer, vol. 16(2), pages 301-326, July.

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    More about this item

    Keywords

    Performance indicators; Variable deletion tests; Banking;
    All these keywords.

    JEL classification:

    • D20 - Microeconomics - - Production and Organizations - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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