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

Authors

  • Irina Kiseleva Plekhanov Russian University of Economics. Moscow, Russia
  • Aziza Tramova Plekhanov Russian University of Economics. Moscow, Russia
  • Tatiana Kalmykova Plekhanov Russian University of Economics. Moscow, Russia
  • Andrey Koryakovsky Plekhanov Russian University of Economics. Moscow, Russia

DOI:

https://doi.org/10.5377/nexo.v36i03.16453

Keywords:

Model, Credit Risk, Risk Assessment, Financial Activity

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.

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Published

2023-06-30

How to Cite

Kiseleva, I. ., Tramova, A., Kalmykova, T., & Koryakovsky, A. (2023). Analysis of credit risk assessment models to ensure the economic security of an organization in the context of digitalization. Nexo Scientific Journal, 36(03), 319–330. https://doi.org/10.5377/nexo.v36i03.16453

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