Business & Management Studies: An International Journal

Yazarlar: Meltem Karaatlı, Ece Yıldız

Konular:-

Anahtar Kelimeler:Deposit Banks,Cluster Analysis,Financial Ratios,Expectation-Maximization Algorithm Jel Codes: C38,G0 Mevduat Bankaları,Kümeleme Analizi,Finansal Oranlar,Beklenti Maksimizasyonu Algoritması

Özet: Banks have an essential role among financial institutions; their capital must be at a certain level. It is impossible for banks that do not have sufficient capital to carry out their main activities, such as deposit collection and borrowing. Finding substantial capital is the cornerstone of a robust financial structure. For this purpose, in this study, the banks' financial structures were analysed by clustering analysis with the financial ratios obtained using the data of 20 deposit banks operating in the banking sector as of 2017. The expectation-maximisation Algorithm was used for cluster analysis. As a result of the study, financially similar banks are presented and interpreted. After the clustering analysis, a significant difference between clusters in terms of each variable was examined by One Way ANOVA and Kruskal Wallis tests. When the clustering results are examined, it is seen that the ownership structures of banks (public, private, foreign) do not have a full effect on cluster formation

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