IDEAS home Printed from https://ideas.repec.org/a/cwk/eafjke/2026-22.html

Internal Bank-Specific Determinants of Non-Performing Loans in Zambian Commercial Banks: A Time-Series Analysis, 2018–2024

Author

Listed:
  • Kalenga, Danicious

    (University of Zambia)

  • Chisenga, Daniel

    (University of Zambia)

Abstract

Non-performing loans (NPLs) pose a serious threat to the soundness of the banking sector in developing countries where credit markets are shallow and borrowers are informationally opaque. This study investigates the determinants of NPLs in Zambian commercial banks at the internal bank-specific level: profitability, lending practices, efficiency, and capitalisation-proxied by the return on assets (ROA), the loan-to-deposit ratio (LDR), the efficiency ratio and the capital adequacy ratio (CAR) respectively. Using a panel of secondary data derived from annual banking sector-wide reports of the Bank of Zambia over the period 2018-2024, an Ordinary Least Squares (OLS) regression is fitted after rigorous pre- and post-estimation diagnostic testing. The regression explains 85.8 per cent of the variation in the net NPL ratio and is fully compliant with classical linear regression assumptions. The evidence suggests a significant, strong negative relation between the ROA and NPLs; also negatively and significantly related to default are the LDR and efficiency ratio. The CAR is instead significantly positively related to NPLs, thus validating the risk-shifting hypothesis where well-capitalised banks take greater credit risk. Neither the net foreign-exchange exposure nor liquidity variable is significant. The findings corroborate the significance of internal management quality in restraining credit risk and underscore that strengthening profitability, lending, and efficiency should underpin credit risk management strategy within Zambia's banking sector.

Suggested Citation

  • Kalenga, Danicious & Chisenga, Daniel, 2026. "Internal Bank-Specific Determinants of Non-Performing Loans in Zambian Commercial Banks: A Time-Series Analysis, 2018–2024," East African Finance Journal, East African Finance Journal, vol. 5(2).
  • Handle: RePEc:cwk:eafjke:2026-22
    DOI: 10.59413/eafj/v5.i2.10
    as

    Download full text from publisher

    File URL: https://ijcsacademia.com/index.php/eafj/article/view/616
    Download Restriction: no

    File URL: https://libkey.io/10.59413/eafj/v5.i2.10?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cwk:eafjke:2026-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Charles G. Kamau (email available below). General contact details of provider: https://ijcsacademia.com/index.php/eafj .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.