期刊名称:Journal of Eastern European and Central Asian Research
印刷版ISSN:2328-8272
电子版ISSN:2328-8280
出版年度:2019
卷号:6
期号:2
页码:282-296
DOI:10.15549/jeecar.v6i2.391
出版社:IEECA
摘要:This article identifies five different banking business models using the k-means method and demonstrates how banks carried out the migration between defined clusters during the banking crisis. The article identifies and links the banks with the business model they are most exposed to in terms of risk of insolvency. The factors that influence the rate of non-performing loans are defined. Developed econometric models will allow banks with certain business models to improve their activity with non-performing loans. The article also analyzes how the amount of loans to related parties can be injected into the amount of non-performing loans.
关键词:bank business model; cluster analysis; non-preforming loans; balances dollarization; credit to affiliated person