MAIN METHODS AND MODERN APPROACHES TO CREDIT RISK ASSESSMENT

Sherzod Akhtamovich Khamroyev

Authors

Sherzod Akhtamovich Khamroyev PhD, Associate Professor Department of Banking, Tashkent State University of Economics

Keywords:

Credit risk, loan portfolio, non-performing loans (NPL), risk assessment models, IRB approach, Uzbekistan banking sector, artificial intelligence

Abstract

This article explores the core methods and modern approaches to credit risk assessment in the banking sector of Uzbekistan, with a particular focus on the structure and quality of loan portfolios. The study analyzes the dynamics of non-performing loans (NPLs) in commercial banks from 2021 to 2025, using statistical data and comparative analysis. Moreover, it highlights the experience of advanced economies such as the United States, Germany, and the United Kingdom in applying internal rating-based (IRB) models, stress-testing, and artificial intelligence-driven credit scoring systems. The paper concludes with strategic recommendations for improving credit risk assessment practices in Uzbekistan in line with international standards.