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Testing market efficiency on the Johannesburg Stock Exchange using the overlapping serial test

Author

Listed:
  • Michael A. Noakes

    (University of Cape Town)

  • Kanshukan Rajaratnam

    (University of Cape Town
    University of Cape Town)

Abstract

It has been suggested that stock exchanges may be tested for market efficiency by using tests for assessing random number generators. This paper uses such a test to assess the efficiency of small, mid and large cap indices on the Johannesburg Stock Exchange, while making adjustments for thin trading which occurs during the sample period. The efficiency of these indices is examined using individual share level data as well as index level data over a stable period and a period containing the 2008 financial crisis. This study finds evidence suggesting that small cap stocks exhibit a high degree of non-randomness in price movements. Some inefficiencies also appear to be present in mid and large cap stocks, however to a much lesser extent, with large cap stocks exhibiting higher levels of efficiency. Many of the stocks investigated appear to exhibit lower levels of efficiency during the crisis period. This may be a result of increased irrationality during periods of uncertainty.

Suggested Citation

  • Michael A. Noakes & Kanshukan Rajaratnam, 2016. "Testing market efficiency on the Johannesburg Stock Exchange using the overlapping serial test," Annals of Operations Research, Springer, vol. 243(1), pages 273-300, August.
    • Handle: RePEc:spr:annopr:v:243:y:2016:i:1:d:10.1007_s10479-014-1751-y
    DOI: 10.1007/s10479-014-1751-y
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    1. J. P. Affleck‐Graves & A. H. Money, 1975. "A Note on the Random Walk Model and South African Share Prices," South African Journal of Economics, Economic Society of South Africa, vol. 43(3), pages 232-236, September.
    2. Ryan Kruger & Francois Toerien & Iain MacDonald, 2012. "Nonlinear Serial Dependence in Share Returns on the Johannesburg Stock Exchange," The African Finance Journal, Africagrowth Institute, vol. 14(2), pages 64-84.
    3. Graham Smith & Keith Jefferis & Hyun-Jung Ryoo, 2002. "African stock markets: multiple variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 475-484.
    4. Quinton Morris & Gary Van Vuuren & Paul Styger, 2009. "Further Evidence Of Long Memory In The South African Stock Market," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 81-101, March.
    5. Keith Jefferis & Graham Smith, 2004. "Capitalisation And Weak‐Form Efficiency In The Jse Securities Exchange," South African Journal of Economics, Economic Society of South Africa, vol. 72(4), pages 684-707, September.
    6. Chipo Mlambo & Nicholas Biekpe & Eon Smit, 2003. "Testing the Random Walk Hypothesis on Thinly-Traded Markets: The Case of Four African Stock Markets," The African Finance Journal, Africagrowth Institute, vol. 5(1), pages 16-35.
    7. Doyle, John R. & Chen, Catherine H., 2013. "Patterns in stock market movements tested as random number generators," European Journal of Operational Research, Elsevier, vol. 227(1), pages 122-132.
    8. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    9. John M. Mulvey, 1994. "Introduction to the Special Issue on Finance," Interfaces, INFORMS, vol. 24(3), pages 1-2, June.
    10. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    11. repec:bla:econom:v:38:y:1971:i:149:p:28-51 is not listed on IDEAS
    12. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    13. repec:pri:cepsud:91malkiel is not listed on IDEAS
    14. 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.
    15. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. "Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-118, March.
    16. Keith Jefferis & Graham Smith, 2005. "The Changing Efficiency Of African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 73(1), pages 54-67, March.
    17. Marsaglia, George, 2005. "Monkeying with the Goodness-of-Fit Test," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i13).
    18. Lim, Kian-Ping, 2007. "Ranking market efficiency for stock markets: A nonlinear perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 445-454.
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    3. James Laird-Smith & Kevin Meyer & Kanshukan Rajaratnam, 2016. "A study of total beta specification through symmetric regression: the case of the Johannesburg Stock Exchange," Environment Systems and Decisions, Springer, vol. 36(2), pages 114-125, June.
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    6. Ben Moews, 2023. "On random number generators and practical market efficiency," Papers 2305.17419, arXiv.org, revised Jul 2023.
    7. Idode Patrick & Sanusi Gbenga, 2019. "Financial Globalisation and Economic Transformation in Africa: Evidence from Nigeria," Financial Sciences. Nauki o Finansach, Sciendo, vol. 24(1), pages 7-24, March.

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