Michael Okpara University of Agriculture2, Statistics, Umudike, Abia State, Nigeria.
International Journal of Science and Research Archive, 2025, 15(03), 1148-1153
Article DOI: 10.30574/ijsra.2025.15.3.1844
Received on 07 May 2025; revised on 14 June 2025; accepted on 16 June 2025
The research considers how macroprudential policy has affected how Nigerian banks manage their credit risk, from 2020 to 2024. A quantitative approach is used to look at data from Zenith Bank, First Bank of Nigeria, Access Bank, Guaranty Trust Bank (GTBank) and United Bank for Africa (UBA), together with macroprudential and macroeconomic data from the Central Bank of Nigeria (CBN) and National Bureau of Statistics (NBS). The authors use panel data regression to evaluate if relationships exist between macroprudential tools (CAR, CCB and LDR) and credit risk measures (NPL ratios and LLP). The study found out that CAR and CCB are very effective in lowering credit risk, LDR and requirements for some sectors remain less important. Growth in the economy, changes in inflation rates and wild exchange rates all play a part in influencing credit risk, where more economic growth decreases risk and increasing inflation or big swings in currency values make it greater. According to the study, strong capital buffers guide banks clear of serious risks and call for more strict policy enforcement and economic balance. With so little data to work with, the findings still give useful advice to policymakers and executives to create better macroprudential rules and risk management strategies in Nigeria’s banking sector.
Macroprudential Policy; Credit Risk Management; Nigerian Banks; Capital Adequacy Ratio; Non-Performing Loans; Financial Stability
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Ucheoma Austie Ehimare. Macroprudential policy and credit risk management in Nigerian banks: An empirical analysis. International Journal of Science and Research Archive, 2025, 15(03), 1148-1153. Article DOI: https://doi.org/10.30574/ijsra.2025.15.3.1844.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0