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Financial Performance Analysis with the Fuzzy COPRAS and Entropy-COPRAS Approaches

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  • Yüksel Akay Ünvan

    (Ankara Yıldırım Beyazıt University)

  • Cansu Ergenç

    (Ankara Yıldırım Beyazıt University)

Abstract

The evaluation of financial performance and profitability for the banking sector has become more important with the recent economic developments, increasing competitive environment, technological developments, and globalization. Banks are one of the most important factors of the financial structures of the countries. Performance measurement and evaluation both determine the positions of banks in the sector and have strategic importance in process management for the country's economy. Banks can evaluate the situation required to create competitive advantage and interpret their potential to take risks with performance measurement. In this study, a financial performance analysis is examined by determining the criteria and weights that affect the financial performance of banks. Based on relevant criteria, the first seven banks are ranked in total assets according to reports received from The Banks Association of Turkey for 2014–2018 financial year and a performance evaluation is done by using the fuzzy COPRAS and Entropi-COPRAS (complex proportional assessment) methods. The criterion weights are determined by the entropy method and banks are ranked in terms of their financial performance by the COPRAS method. Fuzzy approaches are preferred as risk, uncertainty and competition continue to increase in the banking sector. This research adopts fuzzy COPRAS as a fuzzy multi-criteria decision-making technique to determine the weight of each criterion and the importance of alternatives, apart from the entropy and COPRAS approaches.

Suggested Citation

  • Yüksel Akay Ünvan & Cansu Ergenç, 2022. "Financial Performance Analysis with the Fuzzy COPRAS and Entropy-COPRAS Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1577-1605, April.
    • Handle: RePEc:kap:compec:v:59:y:2022:i:4:d:10.1007_s10614-021-10143-4
    DOI: 10.1007/s10614-021-10143-4
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    1. Mercan, Muhammet & Reisman, Arnold & Yolalan, Reha & Emel, Ahmet Burak, 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, Elsevier, vol. 37(3), pages 185-202, September.
    2. Vidya Sekhri, 2011. "A DEA and Malmquist Index Approach to Measuring Productivity and Efficiency of Banks in India," The IUP Journal of Bank Management, IUP Publications, vol. 0(3), pages 49-64, August.
    3. Ihsan Isik & M. Kabir Hassan, 2003. "Efficiency, Ownership and Market Structure, Corporate Control and Governance in the Turkish Banking Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(9‐10), pages 1363-1421, December.
    4. Mohammad Rezaei & Saeedeh Ketabi, 2016. "Ranking the Banks through Performance Evaluation by Integrating Fuzzy AHP and TOPSIS Methods: A Study of Iranian Private Banks," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 19-30, July.
    5. Donsyah Yudistira, 2004. "Efficiency of Islamic Banks: an Empirical Analysis of 18 Banks," Finance 0406007, University Library of Munich, Germany.
    6. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    7. Manish Mittal & Aruna Dhade, 2009. "Awareness and Perception of CAMEL Rating Across Banks: Some Survey Evidence," The IUP Journal of Bank Management, IUP Publications, vol. 0(2), pages 51-63, May.
    8. Yudistira, Donsyah, 2004. "Efficiency In Islamic Banking: An Empirical Analysis Of Eighteen Banks," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 12, pages 2-19.
    9. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    10. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    11. Güven, S. & Persentili, E., 1997. "A linear programming model for bank balance sheet management," Omega, Elsevier, vol. 25(4), pages 449-459, August.
    12. Sanyal, Paroma & Shankar, Rashmi, 2011. "Ownership, competition, and bank productivity: An analysis of Indian banking in the post-reform period," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 225-247, April.
    13. Li, Shanling & Liu, Feng & Liu, Suge & Whitmore, G. A., 2001. "Comparative Performance of Chinese Commercial Banks: Analysis, Findings and Policy Implications," Review of Quantitative Finance and Accounting, Springer, vol. 16(2), pages 149-170, March.
    14. Margono, Heru & Sharma, Subhash C. & Melvin II, Paul D., 2010. "Cost efficiency, economies of scale, technological progress and productivity in Indonesian banks," Journal of Asian Economics, Elsevier, vol. 21(1), pages 53-65, February.
    15. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2008. "Labour use efficiency in the Indian and Pakistani commercial banks," Journal of Asian Economics, Elsevier, vol. 19(3), pages 259-293, June.
    16. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
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