Macroprudential policy and credit risk management in Nigerian banks: An empirical analysis

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17199785
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
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article

Macroprudential policy and credit risk management in Nigerian banks: An empirical analysis

Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

Macroprudential policy and credit risk management in Nigerian banks: An empirical analysis

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Michael Okpara University of Agriculture (NG)
Decent work and economic growth
Openalex Percentile: Top 35%
Economic and Technological Innovation
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Macroprudential policy and credit risk management in Nigerian banks: An empirical analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS