Kirichuk A.I., Koluzanov P.E. The quality of data in the bank when using the PVR model

Authors

  • admin admin

Keywords:

Credit risks, approaches to internal ratings (IRB), data quality, principles of data quality, data quality checks, data quality assessment scale, risk level

Abstract

The article discusses the importance of credit risk assessment in banking and its impact on ensuring loan repayment. Special attention is paid to approaches to internal ratings (IRB), which allow banks to more accurately assess the risks associated with the creditworthiness of borrowers. To ensure effective operation of IRB, it is necessary to provide high-quality data on which they are based. The article describes the principles of data quality, including completeness, accuracy, uniqueness, relevance, and consistency, as well as the importance of regular checks of data quality. A scale for assessing data quality is proposed, which allows classifying data by risk level and determining the need for measures to improve their quality. This contributes to improving the reliability of risk management and ensuring the stability of the banking system.

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Published

2024-12-05

How to Cite

admin, admin. (2024). Kirichuk A.I., Koluzanov P.E. The quality of data in the bank when using the PVR model. DISCUSSION | Journal of Scientific Publications on Economic ISSN 2077-7639, 129(8), 23–30. Retrieved from https://discussionj.ru/index.php/polemik/article/view/270

Issue

Section

Mathematical, statistical and instrumental methods in economics(economic scienc)

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