利用TOPSIS方法综合分析印度公共部门银行财务绩效

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引用次数: 0

摘要

政府最近对多家公共部门银行进行了整合。进行这项研究的主要动机是调查这种整合工作。本文的目的是确定影响印度公共部门银行绩效的因素,并探讨这些因素与政府经营银行绩效之间的关系。在本文中,我们将分析2009年至2019年11年间所有公共部门商业银行的财务数据。采用系统广义矩量法(GMM)分析和典型相关分析(CCA)来评估决定因素对公共部门银行绩效评估的影响。绩效评估使用CAMEL框架进行,其中包括资本充足率,资产质量,管理效率,收益和流动性。值得注意的是,政府最近经历了几家公共部门银行的整合,这是本研究的动力。本文的主要目的是确定影响印度公共部门银行绩效及其相互联系的变量。在这项研究中,我们将仔细审查所有公共部门商业银行在2009年至2019年11年间的财务数据。利用系统广义矩量法(GMM)分析和典型相关分析(CCA)来研究各种决定因素如何影响公共部门银行绩效的评估。绩效评估是通过使用CAMEL框架进行的,该框架是代表资本充足率、资产质量、管理效率、收益和流动性的缩写。这一框架被广泛用于评估印度银行体系的财务稳健性。出于几个原因,公共部门银行(psb)的财务状况至关重要。首先,邮政储蓄银行在向普通民众提供金融服务方面发挥着关键作用,特别是在私人银行可能没有大量存在的农村和半城市地区。因此,广大人口能否获得金融服务直接影响到他们的金融稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Analysis of Indian Public Sector Banks Financial Performance Using the TOPSIS Method
The government has recently undertaken the consolidation of multiple public sector banks. The primary motivation for conducting this research is to investigate this consolidation effort. The objective of this article is to identify the factors influencing the performance of public sector banks in India and explore the relationships between these factors and the performance of government-operated banks. Within this article, we will analyze financial data from all public sector commercial banks spanning an 11-year period, from 2009 to 2019. Both the system generalized method of moments (GMM) analysis and canonical correlation analysis (CCA) have been employed to assess the impact of determinants on the evaluation of public sector bank performance. The assessment of performance is carried out using the CAMEL framework, which encompasses Capital Adequacy, Assets Quality, Management Efficiency, Earnings, and Liquidity. It's worth noting that the government has recently undergone the consolidation of several public sector banks, which serves as the impetus for this study. The primary aim of this article is to ascertain the variables that shape the performance of Indian public sector banks and their interconnections. Within this research, we will scrutinize financial data from all public sector commercial banks over an 11-year span, spanning from 2009 to 2019. Both the utilization of the system generalized method of moments (GMM) analysis and canonical correlation analysis (CCA) have been deployed to examine how various determinants influence the evaluation of public sector bank performance. The assessment of performance has been conducted through the utilization of the CAMEL framework, an acronym representing Capital Adequacy, Assets Quality, Management Efficiency, Earnings, and Liquidity. This framework is widely employed for appraising the financial soundness of the Indian banking system. The financial well-being of public sector banks (PSBs) holds paramount importance for several reasons. Primarily, PSBs play a pivotal role in delivering financial services to the general populace, especially in rural and semi-urban regions where private banks may not have a significant presence. Consequently, the accessibility of financial services to a broad segment of the population directly influences their financial stability.
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