IDEAS home Printed from https://ideas.repec.org/a/vrs/coecre/v22y2019i3p145-162n9.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/cer-2019-0028
    Download Restriction: no

    File URL: https://libkey.io/10.2478/cer-2019-0028?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Paul Brockman & David Michayluk, 1998. "The persistent holiday effect: additional evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 205-209.
    7. repec:aer:wpaper:227 is not listed on IDEAS
    8. 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.
    9. 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.
    10. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    11. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    12. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    13. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephen Keef & Melvin Roush, 2005. "Day-of-the-week effects in the pre-holiday returns of the Standard & Poor's 500 stock index," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 107-119.
    2. Balaban, Ercan & Ozgen, Tolga & Karidis, Socrates, 2018. "Intraday and interday distribution of stock returns and their asymmetric conditional volatility: Firm-level evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 905-915.
    3. Dumitriu, Ramona & Stefanescu, Razvan, 2013. "DOW effects in returns and in volatility of stock markets during quiet and turbulent times," MPRA Paper 47218, University Library of Munich, Germany, revised 02 Apr 2013.
    4. KUMAR Satish, 2017. "A Review On The Evolution Of Calendar Anomalies," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 95-109, April.
    5. Huai-Long Shi & Zhi-Qiang Jiang & Wei-Xing Zhou, 2016. "Time-varying return predictability in the Chinese stock market," Papers 1611.04090, arXiv.org.
    6. Andrew Coutts & Christos Kaplanidis & Jennifer Roberts, 2000. "Security price anomalies in an emerging market: the case of the Athens Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 561-571.
    7. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    8. Chhabra, Damini & Gupta, Mohit, 2022. "Calendar anomalies in commodity markets for natural resources: Evidence from India," Resources Policy, Elsevier, vol. 79(C).
    9. Khalil Jebran & Shihua Chen, 2017. "Examining anomalies in Islamic equity market of Pakistan," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 7(3), pages 275-289, July.
    10. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    11. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
    12. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.
    13. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Price gap anomaly in the US stock market: The whole story," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    14. Foong Soon Cheong, 2016. "Debunking Two Myths of the Weekend Effect," IJFS, MDPI, vol. 4(2), pages 1-9, April.
    15. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    16. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    17. Stephen Easton, 1990. "Returns to Equity Before and After Holidays: Australian Evidence and Tests of Plausible Hypotheses," Australian Journal of Management, Australian School of Business, vol. 15(2), pages 281-296, December.
    18. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 1998. "The dangers of data-driven inference: the case of calender effects in stock returns," LSE Research Online Documents on Economics 119142, London School of Economics and Political Science, LSE Library.
    19. Diego Winkelried & Luis A. Iberico, 2018. "Calendar effects in Latin American stock markets," Empirical Economics, Springer, vol. 54(3), pages 1215-1235, May.
    20. 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.

    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

    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:vrs:coecre:v:22:y:2019:i:3:p:145-162:n:9. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.