Publication Details
Abstract
This article provides an in-depth theoretical and empirical study of the impact of digital transformation processes (digital banking, artificial intelligence (AI), big data, blockchain, and open banking) on the capital risk management system of commercial banks. Within the framework of Basel III/IV requirements, the impact of credit, market, operational, liquidity, and emerging digital risks (model risk, cyber risk, third-party risk, and concentration risk) on Risk Weighted Assets (RWA) and Capital Adequacy Ratio (CAR) indicators is analyzed. The effectiveness of RegTech (Regulatory Technology) and SupTech (Supervisory Technology) solutions is evaluated on the example of international (European and US banks) and Uzbek commercial banks. As a scientific innovation, an expanded Standardized Measurement Approach (SMA) model for calculating operational risk in the conditions of Uzbekistan is proposed, which necessarily takes into account digital risks (cyber factor, model risk, and third-party factor). The empirical analysis is based on data from 50 international and 15 Uzbek banks for 2022–2025, and the results are proven through regression models (OLS and panel data). The results show that digital transformation can increase RWA by an average of 18–25%, but the proposed model can maintain capital adequacy at a stable level of 1.5–2.2 times.