Analysis of credit risk assessment models to ensure the economic security of an organization in the context of digitalization

I. Kiseleva, A. Tramova, Tatiana Kalmykova, Andrey Koryakovsky
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Abstract

The study considers the role of risk assessment of credit activity in the era of the digital economy. The purpose of the study is to identify the main patterns that determine the features of risk assessment in business as the main element contributing to the achievement of economic security of an organization and to perform a comparative analysis of risk assessment and management methods in the context of digitalization. The authors discuss the advantages and disadvantages of various methods of assessing credit risks and analyze credit risk assessment models. Various methods of risk assessment and management are used in modern economic analysis. The most effective ways to reduce risk in the context of instability of the economic and political situation in Russia include the method of scenarios and the method of hierarchy analysis, as well as diversification, i.e. the distribution of risks between several business participants. When a portfolio has a fragmented asset structure, a bottom-up approach is used to assess potential credit risk.
分析数字化背景下保障组织经济安全的信用风险评估模型
该研究考虑了数字经济时代信贷活动风险评估的作用。本研究的目的是确定确定业务风险评估特征的主要模式,作为有助于实现组织经济安全的主要因素,并对数字化背景下的风险评估和管理方法进行比较分析。讨论了各种信用风险评估方法的优缺点,分析了信用风险评估模型。在现代经济分析中使用了各种风险评估和管理方法。在俄罗斯经济和政治局势不稳定的情况下,降低风险最有效的方法包括情景法和层次分析法,以及多样化,即风险在几个企业参与者之间的分配。当投资组合具有分散的资产结构时,使用自下而上的方法来评估潜在的信用风险。
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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