IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/50544.html
   My bibliography  Save this paper

Efficient Market Hypothesis in South Africa: Evidence from a threshold autoregressive (TAR) model

Author

Listed:
  • Van Heerden, Dorathea
  • Rodrigues, Jose
  • Hockly, Dale
  • Lambert, Bongani
  • Taljard, Tjaart
  • Phiri, Andrew

Abstract

This study deviates from the conventional use of a linear approach in testing for the efficiency market hypothesis (EMH) for the Johannesburg Stock Exchange (JSE) between the periods 2001:01 to 2013:07. By making use of a threshold autoregressive (TAR) model and corresponding asymmetric unit root tests, our study demonstrates how the stock market indexes evolve as highly persistent, nonlinear process and yet for a majority of the time series under observation, the formal unit root tests reject the hypothesis of stationarity among the variables. These results bridge two opposing contentions obtained from previous studies by concluding that while a number of stock prices under the JSE stock market may not evolve as pure unit root processes, the time series are, however, highly persistent to an extent of being able to be deemed as weak-form efficient.

Suggested Citation

  • Van Heerden, Dorathea & Rodrigues, Jose & Hockly, Dale & Lambert, Bongani & Taljard, Tjaart & Phiri, Andrew, 2013. "Efficient Market Hypothesis in South Africa: Evidence from a threshold autoregressive (TAR) model," MPRA Paper 50544, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:50544
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/50544/1/MPRA_paper_50544.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    2. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.
    3. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    4. Bruce D. Smith & John H. Boyd, 1998. "The evolution of debt and equity markets in economic development," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 12(3), pages 519-560.
    5. Huntley Schaller & Simon Van Norden, 1997. "Regime switching in stock market returns," Applied Financial Economics, Taylor & Francis Journals, vol. 7(2), pages 177-191.
    6. Qaiser Munir & Kasim Mansur, 2009. "Is Malaysian Stock Market Efficient? Evidence from Threshold Unit Root Tests," Economics Bulletin, AccessEcon, vol. 29(2), pages 1359-1370.
    7. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    8. Diebold, Francis X & Kilian, Lutz, 2000. "Unit-Root Tests Are Useful for Selecting Forecasting Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 265-273, July.
    9. Greenwood, Jeremy & Smith, Bruce D., 1997. "Financial markets in development, and the development of financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 21(1), pages 145-181, January.
    10. Kohers, Theodor & Pandey, Vivek & Kohers, Gerald, 1997. "Using nonlinear dynamics to test for market efficiency among the major U.S. stock exchanges," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 523-545.
    11. Azar P. Jammine & Douglas M. Hawkins, 1974. "The Behaviour of Some Share Indices: A Statistical Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 42(1), pages 27-35, March.
    12. Collins G. Ntim & Kwaku K. Opong & Jo Danbolt & Frank Senyo Dewotor, 2011. "Testing the weak-form efficiency in African stock markets," Managerial Finance, Emerald Group Publishing, vol. 37(3), pages 195-218, February.
    13. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    14. Pandey, Vivek & Kohers, Theodor & Kohers, Gerald, 1998. "Deterministic Nonlinearity in the Stock Returns of Major European Equity Markets and the United States," The Financial Review, Eastern Finance Association, vol. 33(1), pages 45-63, February.
    15. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    16. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non-Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783.
    17. Guneratne Banda Wickremasinghe, 2004. "Efficiency Of Foreign Exchange Markets: A Developing Country Perspective," International Finance 0406004, EconWPA.
    18. Kianā€Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    19. Mubariz Hasanov & Tolga Omay, 2007. "Are the Transition Stock Markets Efficient? Evidence from Non-Linear Unit Root Tests," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 1-12.
    20. 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.
    21. Shively, Philip A., 2003. "The nonlinear dynamics of stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 505-517.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Keywords: Efficient Market Hypothesis (EMH); Johannesburg stock Exchange (JSE); South Africa; Threshold Autoregressive (TAR) model; Unit Roots.;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:50544. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.