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This paper analyzes the determinants of interest margins in the Colombian Financial System. Based on the model by Ho and Saunders (1981), interest margins are modelled as a function of the pure spread and bank-specific institutional imperfections using qu

Net interest margin (NIM) is the raison d'être of banking. It is an important measure of efficacy of the banking sector. At the system level, it is indicative of the cost of financial intermediation, health of the banking sector and its pricing power. In recent years, the Indian banking sector has experienced a major metamorphosis, with increasing competition and changing norms of liquidity, income recognition and capital. The end of regulatory forbearance and asset quality review (AQR) unearthed significant non-performing assets. This article traces the influence of various factors on the NIM, using bank-level data for 42 Indian banks over 25 quarters from March 2011 to March 2017. The study employs a dynamic panel generalised method of moments (GMM) framework to trace the impact of three distinct set of factors in setting banks' NIMs: bank-level factors (like the share of low interest-bearing deposits held, the extent of gross non-performing assets [GNPAs], the capital-to-risk weighted assets ratio [CRAR], size of the loan book, operating costs and lending rates); system-level factors such as the monetary policy rate, credit growth and yields on government securities and macro-variables such as GDP growth and inflation. The results indicate that the main determinants of NIMs are banks' CRAR levels, the proportion of current account and savings account deposits (CASA) to total deposits, operating costs and size of the loan book. Macro-factors like the growth of the economy and repo rate have a positive influence on the NIM. JEL Classification: C23, E43, G21

The aim of this paper is to investigate internal and external determinants that impact the Net Interest Margin (NIM). The paper employs an OLS-PSCE procedure using quarterly Panel Data (From March 2013 to December 2019) for commercial banks in Kosovo. Results suggest that the Net Interest Margin is the banking sector in Kosovo is mostly influenced by factors within the bank such as: Loan-to-Deposit Ratio; Operation Costs and Fee Income, but less affected by external factors besides inflation. In addition, results suggest that external factors do not influence the net interest margin; therefore, a governmental policy intervention might not have an impact on Net Interest Margin. The results of the research are important for commercial banks in Kosovo, since they can help improve the efficiency through the internal and external indicators that are impacting the NIM.

This paper analyzes the determinants of banks'' net interest margins in Honduras during 1998 to 2013—a period characterized by increasing banks'' net interest margins, foreign bank participation and consolidation. In line with findings in the previous literature, we find that operating costs are the most important drivers of banks'' net interest margins. We also find that competition among banks has led to higher concentration and that funding by parent banks positively impacts foreign banks'' net interest margins. Together, these results suggest that banks, particularly foreign banks, are und

An increase in the level of interest rates is said to have a negative impact on banks' net interest margins in the short run. Using a time series of more than 40 years for the German banking system, we show that the opposite effect exists in the long run, where an increase in the level of interest rates by 100 basis points leads to an estimated increase of 7 basis points in the banks' net interest margin. In addition, we analyze the consequences of the low-interest rate environment and find that banks' interest margins for retail deposits, especially for term deposits, have declined by up to 97 basis points.

This paper explores the extent to which interest risk exposure is priced in bank margins. Our contribution to the literature is twofold: First, we present an extended model of Ho and Saunders (1981) that explicitly captures interest rate risk and returns from maturity transformation. Banks price interest risk according to their individual exposure separately in loan and deposit rates, but reduce these charges when they expect returns from maturity transformation. Second, using a comprehensive dataset covering the German universal banks between 2000 and 2009, we test the model-implied hypotheses not only for the commonly investigated net interest income, but additionally for interest income and expenses separately. Controlling for earnings from bank-individual maturity transformation strategies, we find all banks to charge additional fees for macroeconomic interest volatility exposure. Microeconomic on-balance interest risk exposure from maturity transformation, however, only affects the smaller savings and cooperative banks, but not private commercial banks. Returns are only priced in income margins.