银行资本化与宏观经济稳定性的相互关系评估,包括腐败和影子经济

Iryna Didenko, Alina Yefimenko
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引用次数: 0

摘要

研究重点是银行资本化和宏观经济稳定,包括腐败和影子经济。资本充足的银行体系和低腐败水平对于维持宏观经济稳定和减少影子经济规模至关重要。本文旨在通过规范分析来评估银行资本化与宏观经济稳定之间的关系,其中包括腐败和影子经济。该研究基于2010-2021年35个社会经济发展水平不同的国家的财务和经济报告,并基于世界银行和欧洲中央银行的数据。主要投入阻碍宏观经济稳定——腐败——影子经济。在研究过程中,使用了以下工具:-分组,分析和比较的方法来确定链要素的特征“银行体系资本化水平-宏观经济稳定性-腐败-影子经济”;-运用主成分法对银行资本化水平和宏观经济稳定性的统计显著性指标进行因子分析。通过对银行资本化水平的量化评估,发现了以下依赖关系:资产收益率与不良贷款水平、资产收益率与净资产收益率之间存在较强的相关性。利用主成分法,确定了GDP、基尼系数、腐败感知指数、腐败控制指数和政治稳定指数等具有显著统计意义的宏观经济稳定性指标。研究在规范分析的基础上确定,71.1%的宏观经济稳定指标的变化可以用银行资本化水平的波动来解释。不良贷款水平对宏观经济稳定有负面影响,而资产收益率和净资产收益率的波动对国家经济的发展有较大的积极影响。所得结果可用于银行制定其资源和管理政策,分析资本化水平的波动性,国家机构制定国家经济发展的国家政策。
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Interconnections assessment of banking capitalization with macroeconomic stability, including corruption and shadow economy
The research focuses on bank capitalization and macroeconomic stability, including corruption and the shadow economy. A well-capitalized banking system and a low corruption level are important for maintaining macroeconomic stability and reducing the size of the shadow economy. The paper is aimed at assessing the relationship between bank capitalization and macroeconomic stability, which includes corruption and shadow economy through canonical analysis. The research is conducted on the basis of financial and economic reporting of 35 countries with different levels of socio-economic development during 2010–2021 based on data from the World Bank and the European Central Bank. The main input blocks macroeconomic stability – corruption – shadow economy are characterized. During the research, the following tools were used: – methods of grouping, analysis and comparison in determining the characteristics of the elements of the chain «level of capitalization of the banking system – macroeconomic stability – corruption – shadow economy»; – factor analysis by applying the method of principal components in the selection of statistically significant indicators of the bank capitalization level and macroeconomic stability. The quantitative assessment of the bank capitalization level revealed the following dependencies: there is a strong correlation between return on assets and the level of non-performing loans, return on assets and return on equity. Using the principal components method, the following statistically significant indicators of macroeconomic stability were identified: GDP, Gini index, corruption perception index, corruption control index, and political stability index. Research, based on the canonical analysis, determined that 71.1% of changes in macroeconomic stability indicators are explained by fluctuations in the level of bank capitalization. The level of non-performing loans has a negative impact on macroeconomic stability, while the volatility of return on assets and return on equity has a greater positive impact on the development of the country's economy. The obtained results can be used by banks in the development of their resource and management policies, in the analysis of the volatility of capitalization level, by state bodies in the development of national policies of the country's economic development.
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