Skip to main content

Analysis of the Financial Performances of Banks with the TOPSIS Method Weighed by Entropy

  • Conference paper
  • First Online:
Towards Industry 5.0 (ISPR 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 868 Accesses

Abstract

The competition conditions, which are getting more and more difficult in our age, made it inevitable to constantly monitor the performance of banks, which is one of the most important elements of the financial system. The ruthless competition environment forces bank to use the resources they have in the most efficient way. Therefore, it is very important for banks to evaluate their own performance and take measures to increase their performance in line with the evaluation results. The aim of this study is to comparatively analyse the financial performances of the top five banks operating in Turkey in 2020, which have the highest profit ratio in terms of asset size, for four quarters. Performance evaluation of banks was made using 9 criteria and the success of the management strategies followed by the banks throughout the year was evaluated by monitoring the performance rankings in four periods.

According to the results obtained from the study; Ranking first in the financial performance ranking of the five banks analysed, Ziraat Bank raised its score from 0.62 in the first quarter to 0.75 points in the second quarter, and managed to maintain its first place performance until the end of the year, despite falling to 0.60 points in the third quarter. The performance increase of this bank in the first place in the second quarter, which is the crisis period, was interpreted as turning the crisis into an opportunity. While the performance score of the other bank, which ranked second in the first quarter, was 0.56, it decreased to 0.37 points in the second quarter and increased again to 0.50 points in the third quarter. The continuation of this bank's second place performance throughout the year was interpreted as demonstrating a stable performance management, but not being able to take advantage of the opportunities in the second quarter and its performance declined, but showed a rapid recovery in the third quarter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Omurbek, V., Kinay, B.: Havayolu tasimaciliği sektöründe TOPSIS yöntemiyle finansal performans değerlendirmesi. Suleyman Demirel Universitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi 18(3), 343–363 (2013)

    Google Scholar 

  2. Sari, T.: Banka performans olcumunde TOPSIS ve PROMETHEE yontemlerinin karsilastirilmasi. Atatürk Universitesi Iktisadi ve Idari Bilimler Dergisi 34(1), 99–117 (2020)

    Google Scholar 

  3. Ondes, T., Cali, M.S., Aydin, S., Muti, A.: Turkiye’de bulunan ticari bankalar ile katilim bankalarinin ELECTRE yontemi ile performans analizi. Atatürk Universitesi Iktisadi ve Idari Bilimler Dergisi 34(3), 689–710 (2020)

    Google Scholar 

  4. Özkan, T.: Turk bankacilik sektöründe finansal performans olcmede TOPSIS yonteminin kullanimi: Katilim bankalari üzerine bir uygulama. Maliye ve Finans Yazıları 113, 47–64 (2020)

    Article  Google Scholar 

  5. Eren, S.A., Celik, I.E.: Finansal performansin olculmesinde TOPSIS yonteminin kullanimi: Turk bankacilik sektoru uygulamasi. Içtimaiyat 4(2), 171–180 (2020)

    Google Scholar 

  6. Aycin, E., Orcun, C.: Mevduat bankalarinin performanslarinin Entropi ve MAIRCA yontemleri ile değerlendirilmesi. Balikesir Universitesi Sosyal Bilimler Enstitüsü Dergisi 22(42), 175–194 (2019)

    Google Scholar 

  7. Kendirli, H.C., Kendirli, S., Aydin, Y.: Küresel kriz çerçevesinde katilim bankalarinin ve ticari bankalarin mali performanslarinin TOPSIS yontemiyle analizi. Atatürk Universitesi Iktisadi ve Idari Bilimler Dergisi 33(1), 137–154 (2019)

    Google Scholar 

  8. Altunoz, U.: Bankaların finansal performanslarinin bulanik MOORA ve bulanik AHP yontemleri ile analizi: Turk bankalari deneyimi. Route Educational and Social Science Journal 4(4), 116–132 (2017)

    Article  Google Scholar 

  9. Caliskan, E., Eren, T.: Bankaların performanslarinin çok kriterli karar verme yontemiyle değerlendirilmesi. Ordu Universitesi Bilim ve Teknoloji Dergisi 6(2), 85–107 (2016)

    Google Scholar 

  10. Guneysu, Y., Er, B., Ar, I.: Turkiye’deki ticari bankalarin performanslarinin AHS ve GIA yontemleri ile incelenmesi. Karadeniz Teknik Universitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi 5(9), 71–93 (2015)

    Google Scholar 

  11. Bagci, H., Rencber, Ö.F.: Kamu bankalari ve halka açik ozel bankalarin PROMETHEE yontemi ile kârliliklarinin analizi. Aksaray Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi 6(1), 39–47 (2014)

    Google Scholar 

  12. Onder, E., Tas, N., Hepsen, A.: Performance evaluation of Turkish banks using analytical hierarchy process and TOPSIS methods. J. Int. Sci. Publ. Eco. Bus. 7(1), 470–503 (2013)

    Google Scholar 

  13. Wu, X., Zhang, C., Yang, L.: Evaluation and selection of transportation service provider by TOPSIS method with Entropy Weight. Therm. Sci. 00, 1–6 (2020)

    Google Scholar 

  14. Zlaugotne, B., Zihare, L., Balode, L., Kalnbalkite, A., Khabdullin, A., Blumberga, D.: Multi-Criteria decision analysis methods comparison. Environmental and Climate Technologies 24(1), 454–471 (2020)

    Article  Google Scholar 

  15. Chen, P.: Effects of the Entropy weight on TOPSIS. Expert Syst. Appl. 168, 1–13 (2021)

    Article  Google Scholar 

  16. Yildirim, B.F., Demirci, E.: Banka performansinin TOPSIS-M uygulamasi ile değerlendirilmesi. Söke Isletme Fakültesi Priene Uluslararası Sosyal Bilimler Dergisi 1(1), 35–48 (2017)

    Google Scholar 

  17. Esmerve, Y., Bagci, H.: Katılım bankalarinda finansal performans analizi: Turkiye örneği. Mehmet Akif Ersoy Universitesi Sosyal Bilimler Enstitusu Dergisi 8(15), 17–30 (2016)

    Google Scholar 

  18. Aylık, B.: Turkiye bankalar birligi website (2021). https://www.tbb.org.tr/tr

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lokman Kızkapan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Karahan, M., Kızkapan, L., Dinç, H. (2023). Analysis of the Financial Performances of Banks with the TOPSIS Method Weighed by Entropy. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Towards Industry 5.0. ISPR 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-24457-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-24457-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24456-8

  • Online ISBN: 978-3-031-24457-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics