MODERN METHODS FOR ASSESSING THE CREDITWORTHINESS OF BUSINESS ENTITIES
DOI:
https://doi.org/10.5281/zenodo.17409288Abstract
This article analyzes modern methods used to assess the creditworthiness of business entities in the context of digital transformation in the banking sector. The study explores traditional and innovative approaches, including financial ratios, credit scoring models, artificial intelligence (AI), and machine learning tools. The author highlights the importance of comprehensive evaluation systems that combine quantitative and qualitative indicators, contributing to improved decision-making and reduced credit risks for financial institutions.
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