Journals / Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2017 / Cilt: 18 - Sayı: 1

Türkiye’deki Banka Performanslarının İncelenmesi: Promethee Metot Uygulaması

INVESTIGATING BANKS’ PERFORMANCE FOR TURKEY: AN APPLICATION OF PROMETHEE METHOD

Pages
1812017143–1812017159
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, our results unexpectedly show that two of previously failed banks are found to rank in a better position compared to some of currently operating banks in Turkey

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Bank failures bring high costs to every part of a country’s economy.
📊
Key Findings & Data:If the necessary early warnings regarding the performance of the banks can be taken on time by the officials, policy makers and intuitions concerned, bank failures can be prevented and a more robust financial environment can be sustained.
💡
Conclusion & Impact:Besides, our results unexpectedly show that two of previously failed banks are found to rank in a better position compared to some of currently operating banks in Turkey
🔬Design:Research Article
📍Scope:2003 Verileri
⚙️Variables:Domain Parameters

Abstract

Bank failures bring high costs to every part of a country’s economy. If the necessary early warnings regarding the performance of the banks can be taken on time by the officials, policy makers and intuitions concerned, bank failures can be prevented and a more robust financial environment can be sustained. Therefore, the objective of this paper is to measure the performance and failure risk of Turkish deposit banks and to obtain ranking of the banks based on their financial ratios. To this end, we benefit from a data set which allows us to compare the current banks not only on the basis of their present relative position, but also on the basis of their position to the banks failed between 1997 and 2003. Our principal findings show that, some of privately owned and all of publicly owned current banks are quite sound in terms of their financial ratios while some of privately and foreign-owned banks have significantly poorer performance in terms of the ratios considered. Besides, our results unexpectedly show that two of previously failed banks are found to rank in a better position compared to some of currently operating banks in Turkey

Özet

Banka iflasları bir ülkenin tüm ekonomisine büyük maliyetler yüklemektedir. Eğer banka performanslarına yönelik gerekli erken uyarılar politika yapıcılar, yetkililer ve kurumlarca zamanında elde edilirse banka iflasları engellenebilir ve daha sağlam bir finansal zemin sürdürülebilir hale gelir. Bu nedenle bu çalışmanın amacı Türkiye'deki mevduat bankalarının performansı ve iflas riskinin ölçülmesi ve finansal rasyolara dayanarak bankaların performans sıralamasını elde etmektir. Bu bağlamda çalışmada hali hazırda faaliyet gösteren bankaların hem 1997 ve 2003 yılları arasında batan bankalar ile hem de kendi aralarında kıyaslanmasını sağlayan bir veri seti kullanılmaktadır. Temel bulgularımız bazı özel bankaların ve tüm kamu bankalarının finansal rasyolar bağlamında oldukça güçlü durumda olduğunu ve bazı yabancı sermayeli bankaların ise önemli ölçüde zayıf performans sergilediğini göstermektedir. Bunun yanı sıra batmış olan iki özel sermayeli bankanın günümüzde faaliyet gösteren bazı bankalardan daha iyi pozisyonda olduğu sonucu da çalışmanın ilginç bulguları arasındadır

🔖

Cite This Article

PAKSOY, S., TIRAŞ, M. F. (2022). Türkiye’deki Banka Performanslarının İncelenmesi: Promethee Metot Uygulaması. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 18 - Sayı: 1, 1812017143–1812017159. https://ajindex.com/articles/480648

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. ABATH, J. R. and DE ALMEIDA, A.T.: Outsourcing multicriteria decision model based on PROMETHEE method, Journal of Academy of Business and Economics, Jan, Volume: 9, Issue: 1, (2009)
  2. AMPONSAH, S.K., DARKWAH,K.F., INUSAH, A.: Logistic preference function for preference ranking organization method for enrichment evaluation (promethee) decision analysis, African Journal of Mathematics and Computer Science Research, Vol. 5(6),112-119 (2012)
  3. BENNET, R. L., UNAL, H.: Understanding the components of bank failure resolution costs, Financial Markets, Institutions & Instruments, 24(5), 349- 389 (2015)
  4. BOYACIOGLU, M. A., KARA, Y., BAYKAN, Ö.K.: Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: a comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey, Expert Systems with Applications, Volume 36, Issue 2, Part 2, 3355–3366 (2009)
  5. BRANS, J.P., VINCKE, Ph.: A preference ranking organization method: (the PROMETHEE method for multiple criteria decision-making), Management Science, Vol.31, No.6, 647-656 (1985)
  6. BRANS, J.P., VINCKE, Ph., MARESCHAL B.: How to select and how to rank projects: the PROMETHEE method, European Journal of Operations Research, 24, 228–38 (1986)
  7. CHEN, Y.H., WANG, T.C., WU, C.Y.: Strategic decisions using the fuzzy PROMETHEE for IS outsourcing, Expert Systems with Applications,38(10), 13216-13222 (2011)
  8. CRISTOBAL, J.R.S.: Critical Path definition using multicriteria decision making: PROMETHEE method, Journal of Management in Engineering, Vol. 29, No. 2, April 1,158-163 (2013)
  9. DAĞDEVIREN, M., ERASLAN, E.: PROMETHEE sıralama yöntemi ile tedarikçi seçimi, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt 23, No 1, 69-75 (2008)
  10. DOUMPOS, M., KOSMIDOU,K., BAOURAKI, G., ZOPOUNIDIS, C.: Credit risk assessment using a multicriteria hierarchical discrimination approach: A comparative analysis, European Journal of Operational Research,Volume 138, Issue 2, 16 April, 392–412 (2002). doi:10.1016/S0377-2217(01)00254-5
  11. ERDAL, H.İ. and EKINCI, A.: A comparison of various artificial intelligence methods in the prediction of bank failures”, Computational Economics, August, v. 42, iss. 2, pp. 199-215 (2013)
  12. HU, Y.C. and CHEN, C.J.: A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction, Information Sciences, 181, 4959–4968 (2011)
  13. JIANGZHONG, D.: The effects of bank rest