This article examines modern methodological approaches to the comprehensive assessment of financial risks in commercial banks. It explores the integrated evaluation of credit, liquidity, market, operational, and capital risks using stress testing, scenario analysis, early warning indicators, and an integral risk index. A comprehensive model is proposed for determining a bank’s overall risk profile and improving risk management decisions.

This article examines the modeling of climate change-related financial risks in Uzbekistan. Based on official reports from the World Bank, Asian Development Bank (ADB), United Nations Development Programme (UNDP) and the Central Bank of Uzbekistan, the country's vulnerability level to climate change is determined and the current state of climate risk management in the banking sector is assessed. The physical and transition components of climate risks and practical possibilities for their modeling using stress testing and Climate VaR methodologies are explored. Based on the research findings, scientific conclusions and practical recommendations for integrating climate risks into Uzbekistan's financial system and developing green finance are formulated

This article is dedicated to a comprehensive study of the issues surrounding the diversification of foreign exchange reserves in commercial banks of Uzbekistan. Based on statistical data spanning from 2018 to 2024 and the financial statements of 12 commercial banks, the composition of currency portfolios, risk management mechanisms, and diversification strategies were analyzed. The research findings reveal that 73,4% of foreign exchange reserves in Uzbekistan's commercial banks are concentrated in US dollars, which is 2.5–3 times higher than international standards and significantly increases systemic currency risk. Based on the proposed "5-currency optimal diversification model", it was determined that there is a potential to increase the banks' Sharpe ratio by 96%, reduce maximum losses under stress testing scenarios by 6.3 percentage points, and lower the VaR (Value at Risk) indicator by 4.4 percentage points