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Determinants of Non-Performing Loans in Namibia

Author

Listed:
  • Valdemar J. Undji

    (Department of Economics, University of the Western Cape, South Africa)

  • Johannes P.S. Sheefeni

    (Department of Economics, University of the Western Cape, South Africa)

Abstract

This paper uses time-series data from 1996Q1-2021Q4 to examine the determinants of non-performing loans (NPL) in Namibia’s banking industry and test for causality between NPL and its determinants. To accomplish this, the Autoregressive Distributive Lag (ARDL) and the Vector Autoregressive (VAR) pairwise Granger causality modelling approaches are employed. The findings reveal that in Namibia, NPL is influenced by a host of factors, including its own past values, output gap, unemployment rate, housing prices, return on assets, return on equity, lending behaviour, loan-to-deposit ratio, loan growth, narrow money supply, broad money supply, net foreign assets, repo rate, interest spread, deposit rates, private sector credit extension, oil prices, COVID-19 pandemic crisis, stock market prices, regulatory quality, government effectiveness, and the rule of law. The Granger causality test results indicate strong unidirectional causality running from past values of NPL, unemployment, housing prices, capital adequacy ratio, loan growth, and oil prices to NPL. Additionally, a bidirectional causal relationship exists between the repo rate, lending rate, and NPL. The policy implications emanating from this study need to be addressed in order to ensure the stability of the country’s financial system.

Suggested Citation

  • Valdemar J. Undji & Johannes P.S. Sheefeni, 2026. "Determinants of Non-Performing Loans in Namibia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 79(2), pages 199-244, May.
  • Handle: RePEc:ris:ecoint:022478
    DOI: 10.65644/EIIE.079.02.0199
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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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