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Non-linearity behaviour of the ALBI Index: A case of Johannesburg Stock Exchange in South Africa

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  • Cheteni, Priviledge

Abstract

Since the global financial crisis that crippled the world’s financial markets in 2007, interest in nonlinear dynamics in form of deterministic chaos has increased. Hence, the main purpose of this study was to detect if whether stock returns exhibit nonlinear and chaotic tendencies. By using recent statistical tools to overcome some of the limitations faced in financial data. The study made use of the powerful BDS test, LM test and Variance Ratio Test. The empirical results suggest that the ALBI index exhibit nonlinear tendencies and chaotic behaviour.

Suggested Citation

  • Cheteni, Priviledge, 2013. "Non-linearity behaviour of the ALBI Index: A case of Johannesburg Stock Exchange in South Africa," MPRA Paper 56369, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:56369
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    References listed on IDEAS

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    1. Claudio Bonilla & Carlos Maquieira & Rafael Romero-Meza, 2008. "Nonlinear behaviour of emerging market bonds spreads: the Latin American case," Applied Economics, Taylor & Francis Journals, vol. 40(20), pages 2697-2702.
    2. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-337, July.
    5. Theodore Panagiotidis, 2005. "Market capitalization and efficiency. Does it matter? Evidence from the Athens Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 15(10), pages 707-713.
    6. Kim, Jae H., 2006. "Wild bootstrapping variance ratio tests," Economics Letters, Elsevier, vol. 92(1), pages 38-43, July.
    7. Kian-Ping Lim & Melvin J. Hinich, 2005. "Cross-temporal universality of non-linear dependencies in Asian stock markets," Economics Bulletin, AccessEcon, vol. 7(1), pages 1-6.
    8. Liu, T & Granger, C W J & Heller, W P, 1992. "Using the Correlation Exponent to Decide whether an Economic Series is Chaotic," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 25-39, Suppl. De.
    9. repec:ebl:ecbull:v:7:y:2005:i:1:p:1-6 is not listed on IDEAS
    10. Errunza, Vihang, et al, 1994. "Conditional Heteroskedasticity and Global Stock Return Distributions," The Financial Review, Eastern Finance Association, vol. 29(3), pages 293-317, August.
    11. Guillermo A. Calvo, 2006. "Monetary Policy Challenges in Emerging Markets: Sudden Stop, Liability Dollarization, and Lender of Last Resort," Research Department Publications 4504, Inter-American Development Bank, Research Department.
    12. 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.
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    Cited by:

    1. Priviledge Cheteni, 2017. "Stock Market Volatility Using GARCH Models: Evidence from South Africa and China Stock Markets," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 237-245.

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    More about this item

    Keywords

    Non-Linear; JSE; ALBI index; BDS; South Africa;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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