CAMELS parameters’ impact on the risk of losing financial stability: The case of Russian banks

E. Shershneva
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Abstract

The banking sector stability determines the financial immunity of a national economy. Current economic and political tensions precondition the need for predicative diagnosis of factors behind a decrease in a bank’s financial stability taking into account national specificities. The paper aims to explore the impact of intrabank parameters on a risk of deteriorated financial stability of Russian banks. The methodological basis of the study is the theory of financial management as applied to the banking practice. The research methods include content analysis, multiple regression, and logit modelling. The evidence comes from the published financial statements of Russian banks for 2018–2023. The paper suggests an approach for rating banks according to their financial stability and develops logit models for evaluating the risk of losing financial stability based on the CAMELS parameters. The analysis demonstrates a noticeable positive impact of the return on assets and a noticeable negative effect of the overdue loans share on a bank’s financial stability. At the same time, capital adequacy and current liquidity produce an ambiguous effect on the financial strength: they are significant only up to a certain point, after passing which they no longer exert any impact on the financial stability (the so-called “surplus paradox”). The study finds that the impact of the parameters differs for the mediumand long-term forecasting horizons: for a 6-month period, the return on assets is a more significant predictor of the financial instability risk, while the overdue loans share is more important for a 12-month period. The findings extend the understanding of the influence that bank’s internal factors have on their financial stability and can be useful in building the algorithms for analysing and forecasting banking risks.
CAMELS 参数对丧失金融稳定性风险的影响:俄罗斯银行案例
银行业的稳定性决定了国家经济的金融免疫力。当前的经济和政治紧张局势为预测银行金融稳定性下降背后的因素提供了先决条件,同时也考虑到了各国的具体情况。本文旨在探讨银行内部参数对俄罗斯银行金融稳定性下降风险的影响。研究的方法论基础是应用于银行实践的财务管理理论。研究方法包括内容分析、多元回归和对数模型。证据来自俄罗斯银行公布的 2018-2023 年财务报表。论文提出了一种根据财务稳定性对银行进行评级的方法,并根据 CAMELS 参数建立了评估失去财务稳定性风险的 logit 模型。分析表明,资产收益率对银行的财务稳定性有明显的积极影响,而逾期贷款份额则有明显的消极影响。与此同时,资本充足率和当前流动性对财务实力的影响模棱两可:它们只在某一点上有显著影响,过了这一点就不再对财务稳定性产生任何影响(即所谓的 "盈余悖论")。研究发现,在中长期预测范围内,参数的影响是不同的:在 6 个月期间,资产收益率对金融不稳定风险的预测更为重要,而在 12 个月期间,逾期贷款份额更为重要。这些发现拓展了人们对银行内部因素对其金融稳定性影响的理解,有助于建立分析和预测银行风险的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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