Covid-19大流行前后银行聚类分析的比较

Salih Acikalin, Hasan Huseyin Yildirim
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引用次数: 1

摘要

2019年12月在中国武汉出现的新冠肺炎病毒于2020年传播到世界各地,使商业、社会和经济生活陷入停顿。各国政府采取了许多支持性做法,以减少病毒对经济的影响。通过公共银行的社会生活支持贷款,那些因疫情失去收入的人得到了支持。在新冠肺炎疫情影响最严重的2020年,公共银行的贷存量大幅增长。银行通过将其持有或收取的存款用作贷款来获利。因此,财政和货币政策的效率是通过银行来提高的。该研究旨在利用BIST流动性银行指数中存款银行的财务和规模数据,调查新冠肺炎疫情是否导致了银行集群的变化。该研究试图确定哪些纳入Borsa İstanbul (BIST)流动性银行指数的银行是使用2019年和2020年年终报告中公布的值进行聚类的。采用SPSS软件进行聚类分析。该研究的结果确定,大流行过程影响了银行的集群,与2019年相比,公共银行处于不同的集群中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Banks with Cluster Analysis Before and After Covid-19 Pandemic
The Covid-19 virus, which emerged in Wuhan, China, in December 2019, spread all over the world in 2020, bringing commercial, social and economic life to a standstill. Governments have applied many support practices to reduce the impact of the virus on the economy. With public banks’ social life support loans, those who lost their income due to the pandemic were supported. In 2020, when the most intense effects of the Covid-19 pandemic were experienced, public banks’ loan and deposit volumes grew significantly. Banks profit by using the deposits they hold or collect as loans. Therefore, the efficiency of fiscal and monetary policies is increased through banks. The study aims to investigate whether the Covid-19 pandemic has caused a change in the clustering of banks by using the financial and size data of the deposit banks in the BIST Liquid Bank Index. The study tried to determine which banks included in the Borsa İstanbul (BIST) Liquid Bank Index were clustered using the values published in the 2019 and 2020 year-end annual reports. Cluster analysis was applied using the SPSS program. The study’s findings determined that the pandemic process affected the clustering of banks and that public banks were in a different cluster compared to 2019.
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