Assessment of the efficiency of banks accepted in Tehran Stock Exchange using the data envelopment analysis technique

محورهای موضوعی : Financial Mathematics

Mehdi Esfandiar ¹ ( Department of accounting, Qom Branch, Islamic Azad University, Qom, Iran )
Mahmood Saremi ² ( Faculty Of Management, Tehran University, Tehran, Iran )
Hossein Jahangiri Nia ³ ( Department of Accounting, Qom Branch, Islamic Azad University, Qom, Iran )

تاریخ دریافت : 1397/03/29 تاریخ پذیرش : 1397/03/29 تاریخ انتشار : 1397/03/11

کلید واژه: Efficiency, Data envelopment analysis, Securities Banks,

چکیده مقاله :

The research provides a systematic method for assessing the financial performance of the banks. The analysis is based on a set of benchmarks related to the financial performance of the banks. In this regard, this research has explored a model for evaluating accepted banks in Tehran Stock Exchange using the data envelopment analysis method. The purpose of this research is to apply the research method. Also, the data collection method is a direct observation, interview and library method and a tool for collecting data from stock databases. The statistical population of this study is Tehran Stock Exchange member banks. Selection of inputs and outputs of this research has been done according to similar research. Inputs include public and administrative costs, income and output, including net profit. Also, according to the analysis done by the DEA models, it is selected for performance evaluation. Finally, the unit is either efficient or inefficient, and efficient units with The Anderson and Pearson models were ranked and eventually the Bank of Pasargad and the Gwain Bank ranked.

منابع و مأخذ:

[1] Alirezaee, M, The overall assurance inrerval for the non-Archimedeam Epsilon in DEA models, a partition base algorithm, Applied Mathematics and Computations, 2004, 5 , P.45-67.

[2] Athanassopoulos A.D., Service Quality and Operating Efficiency Synergiesfor Management Control in the Provision of Financial Services: Evidence From Greek Bank Branches, European Journal of Operational Research, 1997, 98(2), P.300-313.

[3] Azadeh, A., Ghaderi, S.F. and Izadbakhsh, H., Integration of DEA and AHP with computer simulation for railway system improvement and optimization, Applied Mathematics and Computation,2007, 195, P.775-785.

[4] Berger, A. Hamphery, D., Efficiency of Financial Institutions, Journal of Operational Research, 1997, 5, P.175-212.

[5] Bowlin, Willam F., Measuring Performance: An Introduction to Data Envelopment Analysis, University of Northern Iowa, Cedar falls, Ia, 1998, 50, P.23-26.

[6] Calantone, R.J., Benedetto, C.A.D. and Schmidt, J.B., Using the analytic hierarchy process in new product screening, Journal of Product Innovation Management, 1999, 16(1) , P.65-76.

[7] Caves D., Chirstensen L., Dievert W., The economic theory of index number and the measurement of input, output and productivity, Econometrica, 2004, 50, P.43-66.

[8] Charnes, A., Cooper, W.W. and Rhodes, E., Measuring the efficiency of decision-making units, European Journal of Operational Research, 1978, 2(6), P. 429-44.

[9] Dibachi, H, Behzadi, M.H, Izadikhah, M, Stochastic multiplicative DEA model for measuring the efficiency and ranking of DMUs under VRS technology, Indian Journal of Science and Technology, 2014, 7 (11), 1765-1773

[10] Ertay, T., Ruan, D. and Tuzkaya, U.R., Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems, Information Sciences, 2006, 176, P.237-62.

[11] Farrell, M., The Measurement of Productive Efficiency, Journal of the Royal Statistics Society, 1957, 120(3), P.253-281.

[12] Fare R., Grosskof S., Lindgren B., Roos P., productivity developments in Swedish hospital: A Malmquist output index approach, in: Charns, Cooper, Lewin and Seiford, Data Envelopment Analysis, Boston: Kluwer Academic Publishers, 1989.

[13] Fare R., Grosskof S., Lindgren B., Roos P., Productivity changes in Swedish pharmacies 1980-1989: A non parametric approach, J. of productivity Analysis, 1989, 3, P.76-100.

[14] Guo, J.Y., Liu, J. and Qiu, L., Research on supply chain performance evaluation: based on DEA.AHP model, Proceedings of the IEEE Asia-Pacific Conference on Services Computing (APSCC`02), 2006.

[15] Hegde, G.G. and Tadikamalla, P.R., Site selection for a sure service terminal, European Journal of Operation Research, 1990, 48, P.77-80.

[16] Ho, W., Integrated analytic hierarchy process and its applications – a literature review, European Journal of Operational Research, 2008, 186, P.211-28.

[17] Hwang, S.N. and Chang, T.Y., Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan”, Tourism Management, 2003, 24, P.357-69.

[18] Izadikhah, M, Saen, R.F., Ahmadi, K., How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach, Transportation Research Part D: Transport and Environment, 2017, 51, 102-121.

[19] Jing-yuan, G., Jia, L. and Li, Q., Research on supply chain performance evaluation based on DEA.AHP model, Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC`06), 2006..

[20] Jyoti and Banwet. D.K., Deshmukh .S.G., Evaluating performance of national R&D organizations using integrated DEA-AHP technique, International Journal of Productivity and Performance Management, 2006, 57(5), P.370-388.

[21] Kang. He-Yau, Lee. Amy H.I., A new supplier performance evaluation model A case study of integrated circuit (IC) packaging companies, Kybernetes, 2010, 39(1), P.37-54.

[22] Koch. T, W & Macdonald, S. Scott, Bank Management, 5^th edition, United States of America, Thomson South Western,2003, 12, P.202-204.

[23] Korpela, J., Lehmusvaara, A. and Nisonen, J., Warehouse operator selection by combining AHP and DEA methodologies, International Journal of Production Economics, 2007, 108, P.135-142.

[24] K. Kamvysi, Katerina Gotzamani, Andreas C. Georgiou and A. Andronikidis, Integrating DEAHP and DEANP into the quality function deployment, The TQM Journal, 2010, 22(3), P. 293-316.

[25] Liberatore, M.J., An extension of the analytic hierarchy process for industrial R&D project selection and resource allocation, IEEE Transaction on Engineering Management, 1987, 34(1), P. 12-18.

[26] Lozano, S. and Villa, G., Multiobjective target setting in data envelopment analysis using AHP, Computers & Operations Research, in press, 2007.

[27] Malmquist S., Index numbers and indifference surfaces, Trabajos de Estatistica, 1953, 4, P. 23-67.

[28] Mundel. M.F., Improving Productivity and Efficiency, APO, 1993, 5, P.2-4.

[29] Pierce, John, Efficiency progress in the New South Wales government”, NSW Treasury Research & Information Paper, No. TRP97-8, NSW Treasury, Sydney, 1997.

[30] Ramanathan, R., Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process, Computers & Operations Research,2006, 33,P.1289-1307.

[31] Saaty, T.L., The Analytic Hierarchy Process, McGraw-Hill, New York, NY, 1980.

[32] Saaty, T.L., How to make a decision: the analytic hierarchy process, European Journal of Operational Research, 1990, 48, P. 9-26.

[33] Tim. J, Coelli, Recent Development in Frontier Modelling and Efficiency Measurement, Australian Journal of Agricultural Economics, 1997, 36, P.145-170.

[34] Yang, T. and Kuo, C., A hierarchical AHP.DEA methodology for facilities layout design problem, European Journal of Operational Research, 2003, 147, P.128-136.