Measuring the Impact of Asset Quality on Banking Performance in Nigeria using the ARDL Model – A Case Study of Access bank Plc

Onoh John Okey PhD; Mbanasor Christian PhD

doi:10.56201/ijefm.v10.no7.2025.pg152.180

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Measuring the Impact of Asset Quality on Banking Performance in Nigeria using the ARDL Model – A Case Study of Access bank Plc

Onoh John Okey PhD, Mbanasor Christian PhD

Abstract

Giving the importance of credit creation by banks as one of the main drivers of the economy, the importance of having a adequate composition of assets and liabilities to avoid the potential effects of insolvency cannot be overemphasized. This why the Central Bank of Nigeria gives varying benchmark’s for banks depending on size, market spread, volume and other issues. Access bank is one of the largest and fastest growing banks with the highest incidence of corporate reconstructions in the post banking consolidation Nigeria. The research centers on a common problem to banks such as high inflation rates, exchange rate volatility, and regulatory requirements that can affect the management of their working capital, loan portfolio and solvency mix. Specifically, the problem is that Nigerian banks have experienced fluctuations in their profitability and liquidity in recent years, which may be attributed to inefficient asset quality management practices. A robust combination of tests were employed in analyzing data such as granger causality tests, unit root tests, Johansen cointegration tests and ARDL tests. In testing for liquidity, profitability and financial stability, ARDL results reveal a high and significant R-squared indicating a strong fit of the model to the data. Adjusted R-squared for the three hypotheses were also high and significant, suggesting that the model explains a significant portion of the variance. This means that the ARDL model explains a large portion of the variation in the dependent variables for each metric. The F-Statistic is high and significant, indicating that the model is statistically significant overall suggesting that the independent variables collectively have a significant impact on the dependent variable for each metric. The Akaike Info Criterion (AIC), Schwarz Criterion and Hannan Criterion have very close values suggesting consistency in the model selection process. The Durbin-Watson Statistic a

Keywords

Asset QualityBanking PerformanceARDL Model and Access Bank

References

Abdolshah, F., Moshiri, S., Worthington, A., 2020. Macroeconomic shocks and credit risk stress testing the Iranian banking sector. Journal of Economic Studies, 48(2), p.p. 275-295. Agi? Z., Jeremi?, Z., 2018. Macroeconomic and specific banking determinants of non-performing loans in Bosnia and Herzegovina. Industrija 46 (1), p.p. 45-60, DOI:10.5937/industrija46- 14956 Ahmad, F., Bashir, T., 2013. Explanatory Power of Bank Specific Variables as Determinants of NonPerforming Loans: Evidence from Pakistan Banking Sector. World Applied Sciences Journal, 22 (9), pp. 1220-1231, DOI:10.5829/idosi.wasj.2013.22.09.1908 Ahmed, S., Majeed, M., Thalassinos, E., Thalassinos, Y., 2021. The Impact of Bank Specific and MacroEconomic Factors on Non-Performing Loans in the Banking Sector: Evidence from an Emerging Economy. Journal of Risk and Financial Management, 14(5), p.217, https://doi.org/10.3390/jrfm14050217 Amuakwa–Mensah, F., Boakye–Adjei, A. (2015). Determinants of non–performing loans in Ghana banking industry. International Journal of Computational Economics and Econometrics, 5(1), 35-54. Avetisyan,S.,2018.EUgeographyofnon-performingloans(NPL).Preprints, DOI:10.20944/preprints201809.0109.v1 Avetisyan, S., 2019. Regional-Specific Determinants of Non-Performing Loans. SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.3398897 Balta, N., Vaší?ek, B., 2016.Financial channels and economic activity in the euro area. Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission,15 (2), pp. 19-31 Baltagi, B.H, 2021. Econometric Analysis of Panel Data. Springer. Basdekis, H., 2010. European Union enlargement and equity cost: An empirical analysis on risk sharing and market integration. International Journal of Financial Services Management, 4 (3), pp. 153 – 174, https://EconPapers.repec.org/RePEc:ids:ijfsmg:v:4:y:2010:i:3:p:153-174 Basdekis, C., Christopoulos, A., Katsampoxakis, I., Lyras, A., 2020. Profitability & Optimal Debt Ratio of the Automobiles & Parts Sector in the Euro ?rea. Journal of Capital Market Studies, 4 (2), pp. 113-127, DOI 10.1108/JCMS-08-2020-0031 Basdekis, C., Christopoulos, A., Golfinopoulos, A., Katsampoxakis, I., 2021. VaR as a risk management framework for the spot and futures tanker markets .Operational Research International Journal, Springer, https://doi.org/10.1007/s12351-021-00673-y. Basdekis, C., Katsampoxakis, I., Golfinopoulos, A., 2022. VaR as a mitigating risk tool in the maritime sector: An empirical approach on freight rates. Quantitative Finance and Economics, 6 (2), 158-176, DOI: 10.3934/QFE.2022007 Bayar, Y., 2019. Macroeconomic, Institutional and Bank-Specific Determinants of Non- Performing Loans in Emerging Market Economies: A Dynamic Panel Regression Analysis. Journal of Central Banking Theory and Practice, 8 (3), pp. 95-110, DOI: https://doi.org/10.2478/jcbtp-2019-0026 Bohachova, O., 2008. The impact of macroeconomic factors on risks in the banking sector: a cross- country empirical assessment. Econstor, (No. 44). IAW-Diskussionspapiere, http://hdl.handle.net/10419/36633 Factors Affecting Non-Performing Loans in Europe Before and After Global Financial Crisis. International Journal of Managerial Studies and Research (IJMSR) Page | 37 Borio, C., Drehmann, M., Tsatsaronis, K., 2014. Stress-testing macro stress testing: Does it live up to expectations?. Journal of Financial Stability, 12, p.p.3-15,DOI: 10.1016/j.jfs.2013.06.001 Boudriga, A., BoulilaTaktak, N., Jellouli, S., 2009. Banking supervision and nonperforming loans: a cross?country analysis. Journal of Financial Economic Policy, 1(4), p.p. 286-318, DOI:10.1108/17 576380911050043 Curak, M., Pepur, S., Poposki, K., 2013. Determinants of non-performing loans -evidence from Southeastern European banking systems. Banks and Banks System, 8 (1), pp. 45-53. De Bock, R. and Demyanets, A., 2012. Bank Asset Quality in Emerging Markets: Determinants and Spillovers. IMF Working Papers, 12(71), p.1. Dutta, S., 2021. Relationship between the non-performing assets and macroeconomic variables - a panel data analysis of Indian banking sector. Journal of academic research in economics, 13(2), pp.309-323. Ekundayo, K. O (2002). The Nigerian Capital Market and Impacts on the Growth of the Economy. CBN Annual Reports and Accounts, Central Bank of Nigeria 2 (1) Vol 2 Pp 11. Gashi, A., Mojsoska-Blazevski, N., 2016. The Determinants of Students’ Well-being in Secondary Vocational Schools in Kosovo and Macedonia. European Journal of Education, Research, Development and Policy, 51 (3), https://doi.org/10.1111/ejed.12181 Hakimi, A., Boussaada, R. and Karmani, M., 2020. Is the relationship between corruption, government stability and non?performing loans non?linear? A threshold analysis for the MENA region. International Journal of Finance & Economics, https://doi.org/10.1002/ijfe.2377 Hausman, J.A., 1978. Specification Tests in Econometrics. Econometrica, 46 (6), pp. 1251-1271, https://doi.org/10.2307/1913827 Kamande, M.W., 2017. Factors Affecting Taxation of Ecommerce: An Empirical Study of the Kenyan Market. IOSR Journal of Economics and Finance (IOSR-JEF), 8 (5), pp. 53-59, e- ISSN: 2321-5933, pISSN: 2321-5925 Katsampoxakis, I., Basdekis, H., Anathreptakis, K., 2015. How Firm and Market Characteristics Affect Profitability: An Empirical Study. International Journal of Corporate Finance and Accounting, 2 (1), pp. 67-83. Katsampoxakis, I., Basdekis, C., Anathreptakis K. (2018), “How the Greek Crisis Determined Firm Profitability and Optimal Debt Ratio”, in C. Zopounidis, A. Christopoulos and P. Kalantonis (ed.) Perspectives, Trends, and Applications in Corporate Finance and Accounting, IGI Global Publications, DOI: 10.4018/978-1-5225-6114-9.ch001. Katsampoxakis, I., 2021. ECB’s unconventional monetary policy and spillover effects between sovereign and bank credit risk. EuroMed Journal of Business, 17 (2), pp. 218-245, EMJB- 09-2020-0103, https://doi.org/10.1108/EMJB-09-2020-0103. Klein, N., 2013. Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance. IMF Working Papers, 13(72). Ndu – Okereke Obianuju Edith and 2John Okey Onoh “Capital Adequacy and Banking Performance in a Post-Consolidation Era: A Study of Selected Nigerian Banks”, Journal of Developing Country Studies, ISSN 2224-607X (Paper), ISSN 2225-0565 (Online), Vol 7, No. 1. 2017. Onoh, J.O and Iheanacho, Eugene (2016). Banking Reforms and Credit Creation in the Nigerian Banking Sector: Pre-Reform Era versus Post-Reform Era, IIARD International Journal of Banking and Finance Research ISSN 2406-8634 Vol. 3 No.1 2017 www.iiardpub.org Radivojevic, N., Jovovic, J., 2017. Examining of Determinants of Non-Performing Loans. Prague Economic Papers, 26(3), p.p.300-316, DOI: 10.18267/j.pep.615 Radivojevi?, N., Cvijanovi?, D., Sekulic, D., Pavlovic, D., Jovic, S., Maksimovi? G., 2019. Econometric models for non-performing loans determinants. Physica A: Statistical Mechanics and its Applications, 520, p.p. 481-488, https://doi.org/10.1016/j.physa.2019.01. Rinaldi, L., Sanchis-Arellano, A, 2006. Household debt sustainability: what explains household nonperforming loans? An empirical analysis. Working Paper Series, ECB, No 570, https://www. ecb.europa.eu//pub/pdf/scpwps/ecbwp570.pdf Sembiring, H, Afifuddin, S, Daulay M., 2019. Analysis of the effect of macro and micro variables on nonperforming loan (NPL) level in PT bank Mandiri (Persero) Tbk. International Journal of Research and Review, 6 (12), p.p. 504-515, E-ISSN: 2349-9788; P-ISSN: 2454- 2237 Waqas, M., Fatima, N., Khan, A., Arif, M., 2017. Determinants of Non-performing Loans. International Journal

Measuring the Impact of Asset Quality on Banking Performance in Nigeria using the ARDL Model – A Case Study of Access bank Plc

Abstract

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