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The Adaptive Market Hypothesis and the Day-of-the-Week Effect in African Stock Markets: the Markov Switching Model

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  • Obalade Adefemi A.

    (School of Accounting, Economics & Finance, University of KwaZulu-NatalDurban, South Africa, Assistant Lecturer at Ekiti State University, Ado-Ekiti, Nigeria)

  • Muzindutsi Paul-Francois

    (Ph.D., Associate Professor, School of Accounting, Economics & Finance, University of KwaZulu-Natal, Durban, South Africa)

Abstract

In line with the Adaptive Market Hypothesis (AMH), the objective of this study is to investigate how the day-of-the-week (DOW) effect behaves under different bull and bear market conditions in African stock markets, and to examine the likelihood of being in a bull or bear regime for each market. A Markov Switching Model (MSM) was employed as the analytical technique. The results show that the DOW effect appears in one regime and disappears in another, in all markets, as rooted in the AMH. Lastly, all markets, except the Johannesburg Stock Exchange have a higher tendency to be in a bearish state than a bullish one. Our findings show that active investment management may yield profits for investors investing in most African markets during bearish conditions.

Suggested Citation

  • Obalade Adefemi A. & Muzindutsi Paul-Francois, 2019. "The Adaptive Market Hypothesis and the Day-of-the-Week Effect in African Stock Markets: the Markov Switching Model," Comparative Economic Research, Sciendo, vol. 22(3), pages 145-162, September.
    • Handle: RePEc:vrs:coecre:v:22:y:2019:i:3:p:145-162:n:9
    DOI: 10.2478/cer-2019-0028
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    References listed on IDEAS

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    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    3. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    4. Atsin, Jessica A.L. & Ocran, Matthew K., 2015. "Calendar effects and market anomalies on the Johannesburg Stock Exchange," MPRA Paper 87448, University Library of Munich, Germany.
    5. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    8. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    9. Paul Brockman & David Michayluk, 1998. "The persistent holiday effect: additional evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 205-209.
    10. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    11. S.K. Bundoo, 2011. "An Analysis of Stock Market Anomalies and Momentum Strategies on the Stock Exchange of Mauritius," Working Papers 227, African Economic Research Consortium, Research Department.
    12. Paul Alagidede & Theodore Panagiotidis, 2006. "Calendar Anomalies in an Emerging African Market: Evidence from the Ghana Stock Exchange," Discussion Paper Series 2006_13, Department of Economics, Loughborough University, revised Jun 2006.
    13. 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.
    14. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    15. Roger Vergin & John McGinnis, 1999. "Revisiting the Holiday Effect: is it on holiday?," Applied Financial Economics, Taylor & Francis Journals, vol. 9(5), pages 477-482.
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    Cited by:

    1. Obalade Adefemi A. & Muzindutsi Paul-Francois, 2019. "Calendar Anomalies, Market Regimes, and the Adaptive Market Hypothesis in African Stock Markets," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(4), pages 71-94, December.

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    More about this item

    Keywords

    calendar effect; AMH; African stock markets; Markov Switching Model;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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