战时贷款组合质量管理的挑战与展望:以乌克兰为例

IF 0.5 Q4 ECONOMICS EGE ACADEMIC REVIEW Pub Date : 2023-07-18 DOI:10.32342/2074-5354-2023-2-59-15
I. Zaichko, L. Bohrinovtseva, Y. Verheliuk, O. Purdenko
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引用次数: 0

摘要

该研究的目的是制定有效的方法来解决在俄乌战争造成的金融危机背景下乌克兰银行业贷款组合质量管理问题。在研究过程中,运用了信贷组合理论的基本规定、多因素回归分析、外推法、趋势分析、数学规划等科学方法。提出了一种有系统的方法来研究戒严令下贷款组合质量管理的当代问题和前景,包括在考虑到贷款组合质量的情况下模拟乌克兰银行业的盈利能力。该方法通过构造一个双因素幂回归方程来实现;建立置信区间进行预测,制定3种预测情景(现实、悲观、乐观);考虑到在预测结果基础上形成的约束条件,求解银行业利润最大化的目标函数。建立了乌克兰银行业盈利能力对贷款组合和不良贷款量依赖的权力模型,并根据2012-2022年官方统计数据建立了其统计显著性。据确定,银行贷款组合数量每增加1%,银行收入就会增加3.1%,而不良贷款数量每增加1%,乌克兰银行业收入就会减少0.28%。贷款组合和不良贷款系列已外推至2023-2025年,这与中期一致,因为在戒严令和深度衰退下,长期预测将不可靠。根据中期预测和优化的结果,已经证明,与2022年相比,银行收入最大增长60.4%是可能的,贷款组合增加18.9%,不良贷款减少26%,其在贷款组合中的份额减少13.9%。有理由认为,银行收入最大化的关键条件是尽快结束俄乌战争,并进一步扩大有效的政府优惠贷款计划。特别是,“5-7-9%可负担贷款”国家计划的有效性得到证实,该计划提供了乌克兰银行贷款组合的19%,并成为2019冠状病毒病大流行期间和2022年俄乌战争期间大规模入侵期间反危机商业支持的关键机制。
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CURRENT CHALLENGES AND PROSPECTS OF LOAN PORTFOLIO QUALITY MANAGEMENT IN WARTIME: THE CASE OF UKRAINE
The purpose of the study is to develop effective ways to solve the problems of managing the quality of the loan portfolio of the Ukrainian banking sector in the context of the financial crisis caused by the russian-Ukrainian war. In the course of the study, such scientific methods as fundamental provisions of the credit portfolio theory, multifactor regression analysis, extrapolation, trend analysis, mathematical programming, etc. have been used. A methodical approach to the study of contemporary problems and prospects of loan portfolio quality management under martial law, consisting in modelling the profitability of the Ukrainian banking sector, taking into account the quality of the loan portfolio, has been proposed. This approach is implemented by constructing a two-factor power regression equation; forecasting with the establishment of confidence intervals and the development of 3 forecast scenarios (realistic, pessimistic and optimistic); solving the target function to maximize the profit of the banking sector, taking into account the restrictions formed on the basis of forecasting results. A power model of dependence of Ukrainian banking sector profitability on the volume of loan portfolio and non-performing loans has been built and its statistical significance has been established on the basis of official statistics for 2012–2022. It has been determined that an increase in the volume of the bank loan portfolio by 1% leads to an increase in bank income by 3.1%, while an increase in the volume of non-performing loans by 1% leads to a 0.28% reduction in revenues of the banking sector of Ukraine. The loan portfolio and NPL series have been extrapolated to 2023–2025, which is consistent with the medium-term, as long-term projections would be unreliable under martial law and deep recession. According to the results of medium-term forecasting and optimization, it has been proved that the maximum growth of bank revenues by 60.4%, compared to 2022, is possible with an increase in the loan portfolio by 18.9%, a reduction of non-performing loans by 26% and a reduction of their share in the loan portfolio by 13.9%. It has been justified that the key condition for maximising bank revenues is the soonest termination of the russian-Ukrainian war and further expansion of effective government concessional lending programs. In particular, the effectiveness of the state program “Affordable Loans 5–7–9%”, which provided 19% of the bank loan portfolio in Ukraine and became a key mechanism of anti-crisis business support both during the COVID-19 pandemic and during the large-scale invasion from 2022 during the russian-Ukrainian war, has been substantiated.
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EGE ACADEMIC REVIEW
EGE ACADEMIC REVIEW ECONOMICS-
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