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Are Frontier African Markets Inefficient or Adaptive? Application of Rolling GARCH Models

Author

Listed:
  • Adefemi A. OBALADE
  • Akona TSHUTSHA
  • Lungelo MVUYANA
  • Nothando NDLOVU
  • Paul-Francois MUZINDUTSI

    (University of Western Cape
    University of KwaZulu-Natal
    University of KwaZulu-Natal
    University of KwaZulu-Natal)

Abstract

Time-varying calendar anomaly is thinly investigated in frontier stock markets. This study evaluates the day-of-the-week (DOW) calendar effects within the adaptive market hypothesis framework in frontier African stock markets. The study applies rolling analyses of the various GARCH family models to estimate daily stock indices return of Ghana stock exchange, Nairobi securities exchange, Botswana stock exchange and Bourse Regionale des Valeurs Mobilieres (BRVM) for 2000:1-2020:6 periods. The results show changing DOW effects in Kenya and Botswana which is consistent with the AMH. However, DOW effects cannot be validated in BRVM and Ghana. It suggests that each market must be treated with their own peculiarity even though they are ranked as frontier markets. We conclude that the changing DOW effects in the AMH context cannot be generalised in the frontier African markets and the existence of DOW effects must be treated with caution in BRVM and Ghana.

Suggested Citation

  • Adefemi A. OBALADE & Akona TSHUTSHA & Lungelo MVUYANA & Nothando NDLOVU & Paul-Francois MUZINDUTSI, 2022. "Are Frontier African Markets Inefficient or Adaptive? Application of Rolling GARCH Models," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 6(1), pages 19-35.
  • Handle: RePEc:trp:01jefa:jefa0053
    DOI: 10.1991/jefa.v6i1.a49
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    as
    1. repec:cup:cbooks:9781108422536 is not listed on IDEAS
    2. Chris Brooks & Gita Persand, 2001. "Seasonality in Southeast Asian stock markets: some new evidence on day-of-the-week effects," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 155-158.
    3. Charfeddine, Lanouar & Khediri, Karim Ben & Aye, Goodness C. & Gupta, Rangan, 2018. "Time-varying efficiency of developed and emerging bond markets: Evidence from long-spans of historical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 632-647.
    4. Chatzitzisi, Evanthia & Fountas, Stilianos & Panagiotidis, Theodore, 2021. "Another look at calendar anomalies," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 823-840.
    5. Semei Coronado-Ram'irez & Pedro Celso-Arellano & Omar Rojas, 2014. "Adaptive Market Efficiency of Agricultural Commodity Futures Contracts," Papers 1412.8017, arXiv.org, revised Mar 2015.
    6. Brooks,Chris, 2019. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781108436823.
    7. 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.
    8. Wing-Keung Wong & Aman Agarwal & Nee-Tat Wong, 2006. "The Disappearing Calendar Anomalies in the Singapore Stock Market," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(2), pages 123-139, Jul-Dec.
    9. 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.
    10. Abounoori, Esmaiel & Shahrazi, Mahdi & Rasekhi, Saeed, 2012. "An investigation of Forex market efficiency based on detrended fluctuation analysis: A case study for Iran," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3170-3179.
    11. Coronado Ramírez Semei & Celso Arellano Pedro Luis & Rojas Omar, 2015. "Adaptive market efficiency of agricultural commodity futures contracts," Contaduría y Administración, Accounting and Management, vol. 60(2), pages 389-401, abril-jun.
    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. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    14. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    15. repec:pri:cepsud:91malkiel is not listed on IDEAS
    16. Paul Alagidede & Theodore Panagiotidis, 2009. "Calendar Anomalies in the Ghana Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(1), pages 1-23, April.
    17. Tahmina Akhter & Othman Yong, 2019. "Adaptive market hypothesis and momentum effect: Evidence from Dhaka Stock Exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1650441-165, January.
    18. repec:lje:journl:v:2:y:2006:i:2:p:123-139 is not listed on IDEAS
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    More about this item

    Keywords

    Calendar Effect; Frontier Markets; GARCH; Adaptive Market Hypothesis; Market Efficiency; Rolling Window.;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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