African Stock Markets and Return Predictability

  • Gyamfi NE University of Venda, Thohoyandou
  • Kyei KA University of Venda, Thohoyandou
  • Gill R Department of Mathematics, UL, Louisville


This article re-examines the return predictability of eight African stock markets. When returns of stocks are predictable, arbitrageurs make abnormal gains from analyzing prices. The study uses a non-parametric Generalised Spectral (GS) test in a rolling window approach. The rolling window approach tracts the periods of efficiency over time. The GS test is robust to conditional heteroscedasticity and it detects the presence of linear and nonlinear dependencies in a stationary time series. Our results support the Adaptive Market Hypothesis (AMH). This is because, indices whose returns were observed to be predictable by analyzing them in absolute form and therefore weak - form inefficient showed trends of unpredictability in a rolling window.


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How to Cite
NE, Gyamfi; KA, Kyei; R, Gill. African Stock Markets and Return Predictability. Journal of Economics and Behavioral Studies, [S.l.], v. 8, n. 5, p. 91-99, oct. 2016. ISSN 2220-6140. Available at: <>. Date accessed: 24 nov. 2017.
Research Paper