Ranking of banks in Serbia
DOI:
https://doi.org/10.2298/YJOR0902323MKeywords:
Data Envelopment Analysis, I-distance, ranking, banksAbstract
It is often very difficult to rank entities characterized by more than one indicator. In the case of banking sector, especially in transition countries, it would be important to determine the relationship among the banks, regarding their efficiency and relevant characteristics. The results obtained in two different ranking processes are presented, discussed and compared in this paper. The first procedure is based on Data Envelopment Analysis, mathematical programming technique that can be applied to assessing the efficiency of a variety of entities, using variety of data. The second procedure is based on I-distance, a multivariate statistical method for ranking entities. Both methods allow the use of several criteria, and they both give one single index which can be considered as a rank. The complementary use of the two methods provides more realistic picture of the tendencies in the banking sector and the combination of the results obtained in two processes provides a useful background for more comprehensive evaluation of the banks efficiency.References
Andersen, P., Petersen, N.C. (1993) A procedure for ranking efficient units in data envelopment analysis. Management Science, 39 (10), 1261-1264
Banker, R.D., Thral, R.M. (1992) Estimation of returns to scale using data envelopment analysis. European Journal of Operational Research, 62(1): 74
Berger, A.N., Humphrey, D.B. (1997) Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98(2): 175-212
Charnes, A., Cooper, W.W., Rhodes, E. (1978) Measuring the efficiency of decision making units. European Journal of Operational Research / EJOR, 2, 6, 429-444
Emrouznejad, A., Parker, B.R., Tavares, G. (2008) Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-Economic Planning Sciences, 42(3): 151
Farrell, M.J. (1957) The measurement of productive efficiency. Journal of Royal Statistical Society: Series A, 120 (3): 253-290
Fries, S., Taci, A. (2004) Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries. u: 86, p. 1-29
Guzowska, M., Kisielewska, M., Nellis, J., Zarzecki, D. (2004) Efficiency of the Polish banking sector: Assessing the impact of transformation. u: Emrouznejad A., V. Podinovski [ur.] Data Envelopment Analysis and Performance Management, Aston Business School, str. 163-170
Ivanović, B. (1977) Classification theory. Beograd: Institut za ekonomiku industrije
Jemrić, I., Vujčić, B. (2002) Efficiency of banks in Croatia: A DEA approach. Croatian National Bank, Working paper W-7
Kovačić, Z. (1994) Multivariate analysis. Beograd: Ekonomski fakultet
National bank of Serbia (2006) Basic indicators of banking. www.nbs.yu, April
National bank of Serbia (2006) Banking sector in Serbia, Fourth quarter report 2005. www.nbs.yu, March
Pereira, R.O. (2002) Microfinance: Evaluation the efficiency of microfinancial institutions. Informs-SE, 43, 1-9
Popović, G., Martić, M. (2005) Two-stage DEA use for assessing efficiency and effectiveness of micro-loan programme. u: Balkan Conference on Operational Research (VII), BALCOR 05., May, Constanta, Proceedings, 457-464
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