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Day of the week effect and stock market volatility in Ghana and Nairobi stock exchanges

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  • James Mark Gbeda

    (University of Cape Coast)

  • James Atta Peprah

    (University of Cape Coast)

Abstract

We examine Day-of-the-Week Effect anomaly and volatility in returns on Ghana Stock Exchange (GSE) and Nairobi Stock Exchange (NSE) using daily closing price indices from 2005 to 2014. Ordinary Least Square regression with autoregressive term, GARCH (1, 1), TGARCH (1, 1) and EGARCH (1, 1) were used. There is no evidence of day-of-the-week effect in GSE but there exists Friday effect in NSE. Daily returns could be predicted in NSE but cannot be predicted in the GSE using past prices and returns information. The GARCH model suggests a high degree of persistent in the conditional volatility of daily stock returns in NSE. The TGARCH and EARCH models show no evidence of asymmetry in daily returns in NSE. However, there was no evidence of conditional volatility for GSE-CI. The two markets are inefficient and whiles day of the week effects are irrelevant in making investment decisions in GSE it is relevant in NSE. Reduction in trade settlement periods to t + 1 and promoting internet usage will make market information freely available to all investors hence making the markets more efficient.

Suggested Citation

  • James Mark Gbeda & James Atta Peprah, 2018. "Day of the week effect and stock market volatility in Ghana and Nairobi stock exchanges," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(4), pages 727-745, October.
    • Handle: RePEc:spr:jecfin:v:42:y:2018:i:4:d:10.1007_s12197-017-9409-7
    DOI: 10.1007/s12197-017-9409-7
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    as
    1. Abdelkader Derbali & Slaheddine Hallara, 2016. "Day-of-the-week effect on the Tunisian stock market return and volatility," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1147111-114, December.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955.
    4. World Bank, 2011. "The Changing Wealth of Nations : Measuring Sustainable Development in the New Millennium," World Bank Publications - Books, The World Bank Group, number 2252.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Syed Basher & Perry Sadorsky, 2006. "Day-of-the-week effects in emerging stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 621-628.
    7. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    8. James M. Poterba & Scott J. Weisbenner, 2001. "Capital Gains Tax Rules, Tax‐loss Trading, and Turn‐of‐the‐year Returns," Journal of Finance, American Finance Association, vol. 56(1), pages 353-368, February.
    9. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    10. Frimpong, Joseph Magnus & Oteng-Abayie, Eric Fosu, 2007. "Market Returns and Weak-Form Efficiency: the case of the Ghana Stock Exchange," MPRA Paper 7582, University Library of Munich, Germany, revised 09 Mar 2008.
    11. Hakan Berument & Halil Kiymaz, 2001. "The day of the week effect on stock market volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 25(2), pages 181-193, June.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Chiang, Thomas C & Doong, Shuh-Chyi, 2001. "Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 301-318, November.
    14. 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.
    15. A. Gregoriou & A. Kontonikas & N. Tsitsianis, 2004. "Does the day of the week effect exist once transaction costs have been accounted for? Evidence from the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 215-220.
    16. Osabuohien-Irabor Osarumwense, 2015. "Day-of-the-week effect in the Nigerian Stock Market Returns and Volatility: Does the Distributional Assumptions Influence Disappearance?," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2015(4), pages 33-44.
    17. 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.
    18. Nishat, Muhammad & Mustafa, Khalid, 2002. "Anomalies in Karachi Stock Market: Day of the Week Effect," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 28(3), pages 55-64, September.
    19. Appiah-Kusi, Joe & Menyah, Kojo, 2003. "Return predictability in African stock markets," Review of Financial Economics, Elsevier, vol. 12(3), pages 247-270.
    20. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
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    Cited by:

    1. Daniel Agyapong & Theophilus Sakyiamah Atuah & Anthony Asare- Adu Idun, 2020. "Calendar Effect and Returns of Listed Companies on the Ghana Stock Exchange: A DOLS and GARCH Modelling," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(8), pages 920-935, August.
    2. Adeabah, David & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2023. "How far have we come and where should we go after 30+ years of research on Africa's emerging financial markets? A systematic review and a bibliometric network analysis," Emerging Markets Review, Elsevier, vol. 55(C).
    3. Mohamed CHIKHI & Ali BENDOB & Ahmed Ramzi SIAGH, 2019. "Day-of-the-week and month-of-the-year effects on French Small-Cap Volatility: the role of asymmetry and long memory," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 221-248, December.
    4. Badal Khan & Muhammad Aqil & Syed Hasnain Alam Kazmi & Syed Imran Zaman, 2023. "Day‐of‐the‐week effect and market liquidity: A comparative study from emerging stock markets of Asia†," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 544-561, January.
    5. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    6. Gaurav KUMAR & Prof. Bhartendu SINGH, 2024. "Day-of-the-week and weekend effects on stock market returns: an investigation through review of literature," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(638), S), pages 29-42, Spring.

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    More about this item

    Keywords

    Day of the week effect; Ghana stock exchange; Nairobi stock exchange;
    All these keywords.

    JEL classification:

    • B26 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Financial Economics
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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