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An International Comparison of Banking Sectors: A DEA Approach

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  • Cesar Oliveira
  • Benjamin Tabak

Abstract

This paper presents a novel approach to measure and compare the efficiency of the banking system in several countries and stages of development using the non-parametric mathematic methodology Data Envelopment Analysis (DEA). Thus, we expect to broaden the range of studies about banking efficiency. Differently from most studies that use accounting data for measuring efficiency we employed market data, measuring returns and risk (calculated in different ways) in order to build a new measure of efficiency. This approach allows the comparison of different countries, which have different accounting rules and are not comparable using standard models. The main results suggest a downward trend in the average efficiency level of developed countries and a slight upward trend in the efficiency level of emerging market countries during the period. According to this study, efficiency tends to level off emerging and developed countries. It may be partially explained by the increasing globalization and integration processes that markets have been going through in the last years.

Suggested Citation

  • Cesar Oliveira & Benjamin Tabak, 2005. "An International Comparison of Banking Sectors: A DEA Approach," Global Economic Review, Taylor & Francis Journals, vol. 34(3), pages 291-307.
  • Handle: RePEc:taf:glecrv:v:34:y:2005:i:3:p:291-307
    DOI: 10.1080/12265080500292633
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    Citations

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    Cited by:

    1. Shakeb Akhtar & Mahfooz Alam & Aslam Khan & Mohd Shamshad, 2023. "Measuring technical efficiency of banks vis-à-vis demonetization: an empirical analysis of Indian banking sector using CAMELS framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1739-1761, April.
    2. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    3. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2008. "The Relationship between Risk-Return Trade-Off and Productive Efficiency: Evidence from Malaysia Banking Sector," MPRA Paper 61817, University Library of Munich, Germany.

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