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Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA

Author

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  • Mohamed Dia

    (Research Centre in Operations and Decision Sciences, Department of Finance and Operations, Faculty of Management, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada)

  • Amirmohsen Golmohammadi

    (Research Centre in Operations and Decision Sciences, Department of Finance and Operations, Faculty of Management, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada)

  • Pawoumodom M. Takouda

    (Research Centre in Operations and Decision Sciences, Department of Finance and Operations, Faculty of Management, Laurentian University, 935 Ramsey Lake Road, Sudbury, ON P3E 2C6, Canada)

Abstract

In this study, we focus on how banks can enhance their efficiency in the utilization of resources to ensure their economic sustainability. We propose a novel three-stage (production, investment, and revenue generation) network Data Envelopment Analysis (DEA) with bootstrapping to evaluate the performance of the six big Canadian banks for the period 2000–2017, amid the 2007 financial crisis and the increasing competition level due to new technologies. We identify the best practices in each stage that can be used as benchmarks by other banks to improve their economic sustainability. Our results indicate that the 2007 financial crisis resulted in lower efficiencies in the performance of Canadian banks. This decline was not substantial for the production and investment stages when the revenue generation stage received the greatest hit. In addition, we observed that the individual banks did not have consistent performance in the different stages. Finally, we compared our model with the black box DEA model and concluded that the network DEA provides more insightful and accurate results in terms of banks’ efficiencies.

Suggested Citation

  • Mohamed Dia & Amirmohsen Golmohammadi & Pawoumodom M. Takouda, 2020. "Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA," JRFM, MDPI, vol. 13(4), pages 1-25, April.
  • Handle: RePEc:gam:jjrfmx:v:13:y:2020:i:4:p:68-:d:343733
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    References listed on IDEAS

    as
    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Matthews, Kent, 2013. "Risk management and managerial efficiency in Chinese banks: A network DEA framework," Omega, Elsevier, vol. 41(2), pages 207-215.
    3. Laurent Botti & Sabri Boubaker & Amal Hamrouni & Bernardin Solonandrasana, 2014. "Corporate governance efficiency and internet financial reporting quality," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 13(1), pages 43-64, February.
    4. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    5. Chuang-Min Chao & Ming-Miin Yu & Hsiao-Ning Wu, 2015. "An Application of the Dynamic Network DEA Model: The Case of Banks in Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(S1), pages 133-151, January.
    6. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    7. Gambacorta, Leonardo, 2008. "How do banks set interest rates?," European Economic Review, Elsevier, vol. 52(5), pages 792-819, July.
    8. 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.
    9. Xu, Jiuping & Li, Bin & Wu, Desheng, 2009. "Rough data envelopment analysis and its application to supply chain performance evaluation," International Journal of Production Economics, Elsevier, vol. 122(2), pages 628-638, December.
    10. Melville L. McMillan & Debasish Datta, 1998. "The Relative Efficiencies of Canadian Universities: A DEA Perspective," Canadian Public Policy, University of Toronto Press, vol. 24(4), pages 485-511, December.
    11. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    12. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
    13. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    14. 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.
    15. Tsionas, Mike & Mamatzakis, Emmanuel C., 2017. "Corrigendum to ‘Adjustment costs in the technical efficiency: An application to global banking’ [European Journal of Operational Research 256 (2017) 640–649]," European Journal of Operational Research, Elsevier, vol. 257(2), pages 704-704.
    16. William W. Cooper & Kyung Sam Park & Gang Yu, 2001. "An Illustrative Application of Idea (Imprecise Data Envelopment Analysis) to a Korean Mobile Telecommunication Company," Operations Research, INFORMS, vol. 49(6), pages 807-820, December.
    17. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    18. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    19. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    20. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    21. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    22. Matthieu Truno & Andriy Stolyarov & Danny Auger & Michel Assaf, 2017. "Wholesale Funding of the Big Six Canadian Banks," Bank of Canada Review, Bank of Canada, vol. 2017(Spring), pages 42-55.
    23. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    24. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    25. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    26. Mohsni, Sana & Otchere, Isaac, 2018. "Does regulatory regime matter for bank risk taking? A comparative analysis of US and Canada," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 1-16.
    27. Wahab, M.I.M. & Wu, Desheng & Lee, Chi-Guhn, 2008. "A generic approach to measuring the machine flexibility of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 186(1), pages 137-149, April.
    28. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    29. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.
    30. Paradi, Joseph C. & Zhu, Haiyan & Edelstein, Barak, 2012. "Identifying managerial groups in a large Canadian bank branch network with a DEA approach," European Journal of Operational Research, Elsevier, vol. 219(1), pages 178-187.
    31. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    32. Z Yang, 2009. "Assessing the performance of Canadian bank branches using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 771-780, June.
    33. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    34. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    35. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    36. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    37. Jean-Pierre Gueyié & Alaa Guidara & Van Son Lai, 2019. "Banks’ non-traditional activities under regulatory changes: impact on risk, performance and capital adequacy," Applied Economics, Taylor & Francis Journals, vol. 51(29), pages 3184-3197, June.
    38. 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.
    39. Laurent Weill, 2004. "Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques," Journal of Productivity Analysis, Springer, vol. 21(2), pages 133-152, March.
    40. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    41. Céline Gauthier & Hajime Tomura, 2011. "Understanding and Measuring Liquidity Risk: A Selection of Recent Research," Bank of Canada Review, Bank of Canada, vol. 2011(Spring), pages 3-11.
    42. Mario Seccareccia, 2012. "Financialization and the transformation of commercial banking: understanding the recent Canadian experience before and during the international financial crisis," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 35(2), pages 277-300.
    43. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    44. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
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