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  • 标题:Structural modeling of the impact of bank nonperforming loans on the banking sector: the Ukrainian experience
  • 本地全文:下载
  • 作者:Eugenia Bondarenko ; Olena Zhuravka ; John O. Aiyedogbon
  • 期刊名称:Banks and Bank Systems
  • 印刷版ISSN:1816-7403
  • 电子版ISSN:1991-7074
  • 出版年度:2020
  • 卷号:15
  • 期号:2
  • DOI:10.21511/bbs.15(2).2020.07
  • 语种:English
  • 出版社:LLC "CPC "Business Perspectives"
  • 摘要:The paper aims to develop scientific and methodological approach to assessing the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability, which will allow a more detailed assessment of the directions and degree of mutual influence of these elements. To substantiate this interaction economically and mathematically, structural equation modeling was chosen. Particularly, Statistica was chosen as a software tool to assess the adequacy of the resulting model and determine the level of statistical significance of its parameters. Six key indicators were selected as a research information base, two for each subject of research: indicators of nonperforming loans in the banking sector (the volume of nonperforming loans and the ratio of problem loans excluding capital reserves), profitability indicators of the Ukrainian banking sector (assets profit and rate of return on capital), and indicators of financial stability of the Ukrainian banking sector (regulatory capital-to-risk-weighted assets ratio and liquid assets-to-total assets ratio). For calculations, statistic data of selected indicators for 2005–2019 were used. As a result of calculations, mathematical data were obtained that accurately described the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability. The adequacy of the model was verified based on the following criteria: main summary statistics (ICSF criterion, ICS criterion, discrepancy function, maximum residual cosine), noncentrality fit indices (noncentrality parameter, population noncentrality parameter, Steiger-Lind RMSEA index, McDonald noncentrality index, adjusted population Gamma index), other single sample indices (Akaike information criterion, Schwarz criterion), and a normal probability plot.
  • 关键词:banking sector;financial stability;nonperforming loans;profitability;structural modeling
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