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Assessing performance factors in the UK banking sector: A multicriteria methodology

Author

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  • K. Kosmidou

    ()

  • F. Pasiouras

    ()

  • M. Doumpos

    ()

  • C. Zopounidis

    ()

Abstract

Further consolidation takes place not only among UK banks but also across borders, since some banks see size as a key factor in remaining competitive in international markets. Therefore, it is interesting to investigate the effectiveness and performance of UK banks. Based on their assets, banks are distinguished into small and large ones and a classification of UK banks in a multivariate environment for the period 1998–2002 takes place. The PAIRCLAS multicriteria methodology is employed to investigate the performance of UK small and large banks over multiple criteria, such as asset quality, capital adequacy, liquidity and efficiency/profitability. A comparison with discriminant analysis (DA) and logistic regression (LR) facilitates the investigation of the relative performance of PAIRCLAS against them. The results of the study determine the key factors that specify the classification of a bank as small or large and provide us with the responsible banking decision makers for future readjustments. Copyright Springer-Verlag 2006

Suggested Citation

  • K. Kosmidou & F. Pasiouras & M. Doumpos & C. Zopounidis, 2006. "Assessing performance factors in the UK banking sector: A multicriteria methodology," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(1), pages 25-44, February.
  • Handle: RePEc:spr:cejnor:v:14:y:2006:i:1:p:25-44
    DOI: 10.1007/s10100-006-0158-5
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Meng-Fen Hsieh & Chien-Chiang Lee, 2010. "The Puzzle Between Banking Competition and Profitability can be Solved: International Evidence from Bank-Level Data," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 135-157, December.
    2. Gammadigbé, Vigninou, 2012. "Stress test macroéconomique du système bancaire de l'UEMOA
      [Macroeconomic stress testing of the WAEMU banking system]
      ," MPRA Paper 39214, University Library of Munich, Germany, revised May 2012.
    3. Osuagwu, Eze, 2014. "Determinants of Bank Profitability in Nigeria," MPRA Paper 60948, University Library of Munich, Germany.
    4. Calvo Angela Garcia, 2016. "Institutional development and bank competitive transformation in late industrializing economies: the Spanish case," Business and Politics, De Gruyter, vol. 18(1), pages 27-62, April.
    5. Hussein A. Hassan Al-Tamimi & Husni Charif, 2011. "Multiple approaches in performance assessment of UAE commercial banks," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing, vol. 4(1), pages 74-82, April.
    6. George Emmanuel Iatridis & Anthony Dionysus Persakis, 2012. "Bank profitability determinants under IFRSs," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 3(1), pages 77-99.
    7. Robert Webb & Cormac Bryce & Duncan Watson, 2010. "The effect of building society demutualisation on levels of efficiency at large UK commercial banks," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 18(4), pages 333-355, November.
    8. Aliasghar Aliakbarzadeh & Akbar Alem Tabriz, 2014. "Performance Evaluation and Ranking the Branches of Bank using FAHP and TOPSIS Case study: Tose Asr Shomal Interest-free Loan Fund," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(12), pages 199-217, December.
    9. Memić Deni & Škaljić-Memić Selma, 2013. "Performance Analysis and Benchmarking of Commercial Banks Operating in Bosnia and Herzegovina: a DEA Approach," Business Systems Research, De Gruyter Open, vol. 4(2), pages 17-37, December.
    10. Tyrone Lin & Chia-Chi Lee & Yu-Chuan Kuan, 2013. "The optimal operational risk capital requirement by applying the advanced measurement approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 85-101, January.
    11. repec:hur:ijaraf:v:7:y:2017:i:2:p:131-144 is not listed on IDEAS
    12. Victor Ekpu & Alberto Paloni, 2015. "Financialisation, Business Lending And Profitability In The Uk," Working Papers 2015_18, Business School - Economics, University of Glasgow.
    13. Trofimov, Ivan D. & Md. Aris, Nazaria & Ying Ying, Jovena Kho, 2018. "Determinants of Commercial Banks' Profitability in Malaysia," MPRA Paper 85598, University Library of Munich, Germany.
    14. Sailesh Tanna & Kyriaki Kosmidou & Fotios Pasiouras, 2005. "Determinants of profitability of domestic UK commercial banks: panel evidence from the period 1995-2002," Money Macro and Finance (MMF) Research Group Conference 2005 45, Money Macro and Finance Research Group.

    More about this item

    Keywords

    G21; C69; UK banks; efficiency; performance; mutlicriteria decision aid;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

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