How to cite this paper
Ghaeli, M. (2019). Measuring the relative efficiency of Canadian versus US banks.Accounting, 5(3), 121-126.
Refrences
Avkiran, N. K. (2010). Association of DEA super-efficiency estimates with financial ratios: Investingating the case for Chinese banks. Omega, doi:10.1016/j.omega.2010.08.001.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Charnes A, Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Che, Z. H., Wang, H. S., & Chuang, Ch-L. (2010). A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan, Expert Systems with Applications, 37(10), 7189-7199.
Chen, Z., Matousek, R., & Wanke, P. (2018). Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆. The North American Journal of Economics and Finance, 43, 71-86.
Fernandes, F. D. S., Stasinakis, C., & Bardarova, V. (2018). Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development. Expert Systems with Applications, 96, 284-301.
Fujii, H., Managi, S., Matousek, R., & Rughoo, A. (2018). Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model. The European Journal of Finance, 24(2), 135-156.
Haslem, J. A., Scheraga, C. A., & Bedingfield, J. P. (1999). DEA efficiency profiles of U.S. banks operating internationally. International Review of Economics & Finance, 8(2), 165-182.
Holod, D., & Lewis, H. F. (2011). Resolving the deposit dilemma: A new DEA bank efficiency model. Journal of Banking & Finance, 35(11), 2801-2810.
Lin, T. T., Lee, Ch-Ch., & Chiu, T-F. (2009). Application of DEA in analyzing a bank's operating performance. Expert Systems with Applications, 36(5), 8883-8891.
Mercan, M., Reisman, A., Yolalan, R., & Burak Emel, A. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis, Socio-Economic Planning Sciences, 37(3), 185-202.
Saaty, T. L. (1985). Decision making for leaders. IEEE Transactions on Systems, Man, and Cybernetics, (3), 450-452.
Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259-268.
Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European journal of operational research, 145(1), 85-91.
Staub, R. B., Da Silva e Souza, G. & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), 204-213.
Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.
Yang, J.B., Wong, B.Y.H., Xu, D.L., Liu, X.B. & Steuer, R.E. (2010). Integrated bank performance assessment and management planning using hybrid minimax reference point – DEA approach. European Journal of Operational Research, doi:10.1016/j.ejor.2010.07.001.
Wanke, P., Barros, C. P., & Emrouznejad, A. (2018). A comparison between stochastic DEA and fuzzy DEA approaches: revisiting efficiency in Angolan banks. RAIRO-Operations Research, 52(1), 285-303.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Charnes A, Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Che, Z. H., Wang, H. S., & Chuang, Ch-L. (2010). A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan, Expert Systems with Applications, 37(10), 7189-7199.
Chen, Z., Matousek, R., & Wanke, P. (2018). Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆. The North American Journal of Economics and Finance, 43, 71-86.
Fernandes, F. D. S., Stasinakis, C., & Bardarova, V. (2018). Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development. Expert Systems with Applications, 96, 284-301.
Fujii, H., Managi, S., Matousek, R., & Rughoo, A. (2018). Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model. The European Journal of Finance, 24(2), 135-156.
Haslem, J. A., Scheraga, C. A., & Bedingfield, J. P. (1999). DEA efficiency profiles of U.S. banks operating internationally. International Review of Economics & Finance, 8(2), 165-182.
Holod, D., & Lewis, H. F. (2011). Resolving the deposit dilemma: A new DEA bank efficiency model. Journal of Banking & Finance, 35(11), 2801-2810.
Lin, T. T., Lee, Ch-Ch., & Chiu, T-F. (2009). Application of DEA in analyzing a bank's operating performance. Expert Systems with Applications, 36(5), 8883-8891.
Mercan, M., Reisman, A., Yolalan, R., & Burak Emel, A. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis, Socio-Economic Planning Sciences, 37(3), 185-202.
Saaty, T. L. (1985). Decision making for leaders. IEEE Transactions on Systems, Man, and Cybernetics, (3), 450-452.
Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259-268.
Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European journal of operational research, 145(1), 85-91.
Staub, R. B., Da Silva e Souza, G. & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), 204-213.
Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.
Yang, J.B., Wong, B.Y.H., Xu, D.L., Liu, X.B. & Steuer, R.E. (2010). Integrated bank performance assessment and management planning using hybrid minimax reference point – DEA approach. European Journal of Operational Research, doi:10.1016/j.ejor.2010.07.001.
Wanke, P., Barros, C. P., & Emrouznejad, A. (2018). A comparison between stochastic DEA and fuzzy DEA approaches: revisiting efficiency in Angolan banks. RAIRO-Operations Research, 52(1), 285-303.