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African Emerging Equity Markets Re‐examined: Testing the Weak Form Efficiency Theory

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  • Emmanuel O. Nwosu
  • Anthony Orji
  • Ogomegbunam Anagwu

Abstract

This paper examines the weak form of market efficiency of five major stock markets; four African equity markets and one developed market. The weekly market index returns of the EGX 30, NSE 20, NSE All Share Index, FTSE‐JSE All Share Index and the S&P 500 Index were analysed for the period 1998–2008. To determine if the stylized fact of stock returns in African markets violate the random walk hypothesis, numerous econometric and statistical techniques are employed. These methods include the autocorrelation test, the unit test, linear and non‐linear models. The results indicate that the African markets do not behave in a manner consistent with the weak form of market efficiency. These results provide a contrast between the emerging African markets and the developed markets. It suggests that African emerging markets have higher average returns and volatility than developed markets. We argue that if the market could be made less volatile, it has the potential to attract more investment because of its attractive returns.

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  • Emmanuel O. Nwosu & Anthony Orji & Ogomegbunam Anagwu, 2013. "African Emerging Equity Markets Re‐examined: Testing the Weak Form Efficiency Theory," African Development Review, African Development Bank, vol. 25(4), pages 485-498, December.
    • Handle: RePEc:bla:afrdev:v:25:y:2013:i:4:p:485-498
    DOI: 10.1111/1467-8268.12044
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    1. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    2. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.
    3. Miller, Merton H & Muthuswamy, Jayaram & Whaley, Robert E, 1994. "Mean Reversion of Standard & Poor's 500 Index Basis Changes: Arbitrage-Induced or Statistical Illusion?," Journal of Finance, American Finance Association, vol. 49(2), pages 479-513, June.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    7. Gerald Kohers & Ninon Kohers & Theodor Kohers, 2006. "The risk and return characteristics of developed and emerging stock markets: the recent evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 737-743.
    8. Bekaert, Geert & Harvey, Campbell R., 2002. "Research in emerging markets finance: looking to the future," Emerging Markets Review, Elsevier, vol. 3(4), pages 429-448, December.
    9. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    10. Charles Adjasi & Nicholas Biekpe, 2006. "Stock Market Development and Economic Growth: The Case of Selected African Countries," African Development Review, African Development Bank, vol. 18(1), pages 144-161.
    11. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. David de Villiers & Natalya Apopo & Andrew Phiri & David McMillan, 2020. "Unobserved structural shifts and asymmetries in the random walk model for stock returns in African frontier markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1769348-176, January.
    2. Dong, Gang Nathan & Gu, Ming & He, Hua, 2020. "Invisible hand and helping hand: Private placement of public equity in China," Journal of Corporate Finance, Elsevier, vol. 61(C).
    3. Konstantinos Vergos & Benjamin Wanger, 2019. "Evaluating interdependencies in African markets A VECM approach," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 65-85.
    4. Edward A. E. Jones & Anthony K. Kyiu & Hao Li, 2021. "Earnings informativeness and trading frequency: Evidence from African markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1064-1086, January.

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