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The Determinants of Interest Rate Spreads in South Africa: A Cointegration Approach

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  • Ferdinand Niyimbanira
  • Rachel Nishimwe-Niyimbanira
  • Sanderson Sabie Kuyeli
  • Koleka Rangaza

Abstract

This study empirically identifies the determinants of interest rate spreads (IRS) in South Africa over the period 1990 to 2012. The study uses the Johansen Cointegration Approach and Vector ErrorCorrection techniques to identify the variables in explaining the interest rate spreads in South Africa. It considers the inflation rate, reserve requirements, Treasury bill, discount rate, money supply (M2) and gross domestic product per capita variables as they explain the movement of interest rate spreads. A significant short-run relationship between IRS and its explanatory variables was observed. These macroeconomic variables are significant in explaining the behavior of the South African IRS in the longrun. This paper has focused on illuminating on how the interest rate spreads are impacted by both exogenous and endogenous variables. If controlled, these variables are most likely to have the largest effects on reducing such spreads. In addition, it suggests that the reduction in the reserve requirements prescribed by the South African Reserve Bank would help to reduce the interest rate spreads. Based on the results of the study, policy implications and suggestion for future research are made.

Suggested Citation

  • Ferdinand Niyimbanira & Rachel Nishimwe-Niyimbanira & Sanderson Sabie Kuyeli & Koleka Rangaza, 2015. "The Determinants of Interest Rate Spreads in South Africa: A Cointegration Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 7(2), pages 101-108.
  • Handle: RePEc:rnd:arjebs:v:7:y:2015:i:2:p:101-108
    DOI: 10.22610/jebs.v7i2(J).567
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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Brock, Philip L. & Rojas Suarez, Liliana, 2000. "Understanding the behavior of bank spreads in Latin America," Journal of Development Economics, Elsevier, vol. 63(1), pages 113-134, October.
    4. Demirguc, Asli & Huizinga, Harry, 1999. "Determinants of Commercial Bank Interest Margins and Profitability: Some International Evidence," The World Bank Economic Review, World Bank, vol. 13(2), pages 379-408, May.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. A. Georgievska & L. Georgievska & A. Stojanovic & N. Todorovic, 2008. "Sovereign rescheduling probabilities in emerging markets: a comparison with credit rating agencies' ratings," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(9), pages 1031-1051.
    7. Cho, Yoon Je, 1988. "The effect of financial liberalization on the efficiency of credit allocation : Some evidence from Korea," Journal of Development Economics, Elsevier, vol. 29(1), pages 101-110, July.
    8. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    9. Hainz, Christa & Horváth, Roman & Hlaváček, Michal, 2014. "The interest rate spreads in the Czech Republic: Different loans, different determinants?," Economic Systems, Elsevier, vol. 38(1), pages 43-54.
    10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    11. Zarruk, Emilio R., 1989. "Bank spread with uncertain deposit level and risk aversion," Journal of Banking & Finance, Elsevier, vol. 13(6), pages 797-810, December.
    12. Ho, Thomas S. Y. & Saunders, Anthony, 1981. "The Determinants of Bank Interest Margins: Theory and Empirical Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(4), pages 581-600, November.
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    1. Alarudeen Aminu & Joshua Adeyemi Ogunjimi, 2019. "A Small Macroeconometric Model of Nigeria," Economy, Asian Online Journal Publishing Group, vol. 6(2), pages 41-55.

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