Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2020 | 1(13) | 5-22

Article title

The Impact of Credit Risk on Bank Profitability in Nigeria

Content

Title variants

Languages of publication

Abstracts

EN
This study examines the impact credit risk management has on the profitability of commercial banks in Nigeria. The main objective of this material is to show how credit risk parameters are related to the expected performance of commercial banks in Nigeria. Using the regression analysis, relationship was drawn between credit risk parameters (which include capital adequacy ratio and non-performing loan ratio) and the profitability ratio (return on average asset, in particular) of five big Nigerian banks. Mixed research methodology was adopted in that primary data were sourced via questionnaires and secondary data were used via annual report of selected banks. Regression analysis was used to analyse the data. The conclusion drawn from the data analysis shows that there is a strong relationship between credit risk parameters and returns of the bank implying that credit risk management has a strong impact on the profitability of commercial banks in Nigeria. The study recommends that banks’ capital should be matched with their total risk exposure and if there is an imbalance, new capital requirements are necessary. Insider-related interests in loan applications should be closely monitored by the regulators to ensure continuous performance of the loan facility. Also, there should be an extant profiling of loan defaulters whether individuals or corporate entities.

Keywords

Year

Issue

Pages

5-22

Physical description

Dates

published
2020

Contributors

  • University of Lagos, Akoka-Yaba, Nigeria
author
  • University of Lagos, Akoka-Yaba, Nigeria
  • University of Lagos, Akoka-Yaba, Nigeria

References

  • Bickel P.J. (1978) Using residuals robustly I: Test for heteroscedasticity and nonlinearity. Annals of Statistics. Vol. 6, 266–291.
  • Giesecke K. (2004) Correlated default with incomplete information. Journal of Banking and Finance. Vol. 28(7); 1521–1545.
  • International Monetary Fund (2004), Article IV Consultation, Sixth Review under the Poverty Reduction and Growth Facility, and Request for Waiver of Performance Criteria – Staff Report; Staff Statement; and Public Information Notice and Press Release on the Executive Board Discussion, Republic of Armenia.
  • Jin Y. & Jorion P. (2006) Firm Value and Hedging: Evidence from U.S. Oil and Gas Producers. The Journal of Finance. Vol. 61(2); 893–919.
  • Klimczak K.M. (2007) Risk Management Theory; A Comprehensive Empirical Assessment. Kozminski Working Papers Series, Leon Kozminski Academy of Entrepreneurship and Management in Warsaw, Poland.
  • Koenker R. (1981) A note on studentizing a test for heteroscedasticity. Journal of Econometrics. Vol. 17, 107–112.
  • Onwumere J.U.J. (2005), “Business and Economic Research Methods”, Lagos: Don-Vinton Press Ltd.
  • Perera L.A.S & Morawakage P.S. (2016) Credit Risk Management and Shareholder Value Creation; With Special Reference to Listed Commercial Banks in Sri Lanka. Kelaniya Journal of Management. Vol. 5(2); 1–16.
  • Raad M.L. (2015) Credit Risk Management (CRM) Practices in Commercial Banks of Bangladesh: “A Study on Basic Bank Ltd.” International Journal of Economics, Finance and Management Sciences. Vol. 3(2); 78–90.
  • Ronald C. (1993), Ronald Coase and Methodology, Journal of Economic Perspectives, Volume 7, No 4, American Economic Association, Nashville, USA.
  • Serwadda I. (2018) Impact of Credit Risk Management System on the Financial Performance of Commercial Banks in Uganda. Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis. Vol. 66(6); 1627–1635.
  • Shadish W.R., Cook T.D. & Campbell D.T. (2002), Experimental and Quasi-Experimental Designs for Generalized Causal Inference, Boston, New York.
  • Tekalagn G., Lu A. & Md. Shafiqul B. (2015) Credit Risk Management and Its Impact on Performance of Commercial Banks: In of Case Ethiopia. Research Journal of Finance and Accounting. Vol. 6(24); 53–64.
  • Westerlund J. & Breitung J. (2009) Myths and Facts about Panel Unit Root Tests. No. 380, Working Papers in Economics, University of Gothenburg, Department of Economics.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2046419

YADDA identifier

bwmeta1.element.ojs-doi-10_7172_2353-6845_jbfe_2020_1_1
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.