中介，中断？黑山银行利差分析（英）2026

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Montenegro's financial intermediation has been on a decline since independence, with domestic private sector credit dropping from a peak of 86.5% of GDP in 2008 to 46.4% in 2024. The net interest margin (NIM) remains high, one of the highest in the Western Balkans, indicating structural inefficiencies in the financial sector [5][13] - The analysis reveals three key findings: larger banks tend to have lower NIM due to economies of scale and stronger market power; higher asset quality is associated with narrower profit margins, emphasizing the importance of effective credit risk management; and higher operational efficiency correlates with lower NIM, highlighting the need for cost control [5][17] - The report emphasizes the necessity for policy measures that support bank consolidation, enhance credit risk management practices, and promote operational efficiency improvements [5][18] Summary by Sections Introduction - The introduction outlines the context of Montenegro's banking sector and the significance of analyzing NIM [10] Literature Review - The literature review discusses the determinants of interest rate spreads, emphasizing the role of market structure, regulatory quality, and institutional development in shaping NIM [21][22] Structure and Dynamics of the Banking System - Montenegro's banking system is characterized by a significant reduction in the number of commercial banks, from 15 in 2018 to 11 in 2025, due to consolidation processes. The banking sector's assets account for approximately 95% of GDP, indicating its dominant role in the financial system [27][28] Data Overview - The empirical analysis utilizes a unique bank-level panel dataset covering 11 commercial banks from 2013 to 2025, sourced from the Central Bank of Montenegro [35][36] Empirical Strategy and Results - The empirical strategy employs panel data techniques to identify the determinants of NIM, controlling for unobserved heterogeneity and time-varying effects. The analysis finds significant differences in NIM across banks, highlighting the importance of bank-specific characteristics [44][41] Conclusion - The conclusion summarizes the findings and their policy implications, stressing the need for a regulatory framework that encourages efficiency-enhancing mergers and improves credit risk management [19][18]