FINANCIAL PERFORMANCE ANALYSIS OF DEVELOPMENT AND INVESTMENT BANKS: TOPSIS METHOD

Author:

ERDOĞAN Burhan1ORCID

Affiliation:

1. SİVAS CUMHURİYET ÜNİVERSİTESİ

Abstract

The banking sector conducts many transactions and plays an important role in promoting individual and national well-being. The purpose of this study is to analyze the 11 development banks and investment banks operating in the Turkish banking sector from 2015 to 2021 using the SV-TOPSIS methodology, one of the Multi-Criteria Decision Making (MCDM) methodology. Analyzing a bank's financial performance. First, the criterion weights were determined with the SV method (statistical variance) for the 11 selected criteria and analyzed with the TOPSIS method. According to the results of the proposed model, the surveyed banks showed fluctuations in performance during the survey period, but the best performing banks were İller Bankası (regional bank) and Diler Investment Bank respectively.

Publisher

Dicle Universitesi Sosyal Bilimler Enstitusu Dergisi

Reference30 articles.

1. Altemur, N., Çevik, M., & Karaca, S. S. (2019). Bist 30 endeksinde işlem gören ticari bankaların topsis yöntemi ile finansal performans analizi. Uluslararası İşletme, Ekonomi ve Yönetim Perspektifleri Dergisi, 3(1), 63-73.

2. Aydın, Y. (2020a). A hybrid multi-criteria decision making (mcdm) model consisting of sd and copras methods in performance evaluation of foreign deposit banks. Equinox Journal of Economics Business and Political Studies, 7(2), 160-176.

3. Aydın, Y. (2020b). Bütünleşik critic ve mairca yöntemleri ile kamu sermayeli bankalarının performans analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5(4), 829-841.

4. Çetinbakış, M., & Bektaş, S. (2023). Veri zarflama analizi ile seçilmiş kalkınma ve yatırım bankalarının etkinlik performanslarının değerlendirilmesi: 2010-2021 dönemi Türkiye örneği. Gazi İktisat ve İşletme Dergisi, 9(1), 51-65.

5. Dinçer, H., & Görener, A. (2011). Performance evaluation using ahp-vikor and ahp-topsis approaches: The case of service sector. Sigma Journal of Engineering and Natural Sciences, 29(3), 244- 260.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3