IDEAS home Printed from https://ideas.repec.org/a/afj/journl/v12y2010iconferencep1-26.html
   My bibliography  Save this article

Testing the Weak-form Market Efficiency and the Day of the Week Effects of some African Countries

Author

Listed:
  • Michael Batuo Enowbi
  • Francesco Guidi
  • Kupukile Mlambo

    (African Development Bank)

Abstract

The aims of this work are twofold. On the one hand, it aims to find evidence supporting the presence of the weak form efficiency of several emerging African stock markets by using both parametric as well as non parametric tests. The results indicate that none of the markets are characterised by random walks with the exception of the South African stock market. On the other hand, this study aims to detect the presence of the day of the week effects of these African stock markets. Results show the existence of day of the week effects, that is, the typical negative Monday and Friday positive effects in several stock markets.

Suggested Citation

  • Michael Batuo Enowbi & Francesco Guidi & Kupukile Mlambo, 2010. "Testing the Weak-form Market Efficiency and the Day of the Week Effects of some African Countries," The African Finance Journal, Africagrowth Institute, vol. 12(Conferenc), pages 1-26.
  • Handle: RePEc:afj:journl:v:12:y:2010:i:conference:p:1-26
    as

    Download full text from publisher

    File URL: http://www.journals.co.za/ej/ejour_finj.html
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Keim, Donald B & Stambaugh, Robert F, 1984. "A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-835, July.
    2. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    3. Osamah M. Al‐Khazali & David K. Ding & Chong Soo Pyun, 2007. "A New Variance Ratio Test of Random Walk in Emerging Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 42(2), pages 303-317, May.
    4. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    5. Nabeel Al-Loughani & David Chappell, 2001. "Modelling the day-of-the-week effect in the Kuwait Stock Exchange: a nonlinear GARCH representation," Applied Financial Economics, Taylor & Francis Journals, vol. 11(4), pages 353-359.
    6. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    7. Maria Rosa Borges, 2011. "Random walk tests for the Lisbon stock market," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 631-639.
    8. Abraham Abraham & Fazal J. Seyyed & Sulaiman A. Alsakran, 2002. "Testing the Random Walk Behavior and Efficiency of the Gulf Stock Markets," The Financial Review, Eastern Finance Association, vol. 37(3), pages 469-480, August.
    9. 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.
    10. Ainul Islam & Mohammed Khaled, 2005. "Tests of Weak-Form Efficiency of the Dhaka Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1613-1624.
    11. Lagoarde-Segot, Thomas & Lucey, Brian M., 2008. "Efficiency in emerging markets--Evidence from the MENA region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 94-105, February.
    12. Ercan Balaban, 1995. "Day of the week effects: new evidence from an emerging stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 2(5), pages 139-143.
    13. Diebold, Francis X. & Rudebusch, Glenn D., 1991. "On the power of Dickey-Fuller tests against fractional alternatives," Economics Letters, Elsevier, vol. 35(2), pages 155-160, February.
    14. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    15. Taufiq Choudhry, 2000. "Day of the week effect in emerging Asian stock markets: evidence from the GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 235-242.
    16. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    17. Tang, G. Y. N. & Kwok, K-h., 1997. "Day of the week effect in international portfolio diversification: January vs non-January," Japan and the World Economy, Elsevier, vol. 9(3), pages 335-352, August.
    18. Keith Jefferis & Graham Smith, 2005. "The Changing Efficiency Of African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 73(1), pages 54-67, March.
    19. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    20. Agrawal, Anup & Tandon, Kishore, 1994. "Anomalies or illusions? Evidence from stock markets in eighteen countries," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 83-106, February.
    21. Sowell, Fallaw, 1990. "The Fractional Unit Root Distribution," Econometrica, Econometric Society, vol. 58(2), pages 495-505, March.
    22. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
    23. Ojah, Kalu & Karemera, David, 1999. "Random Walks and Market Efficiency Tests of Latin American Emerging Equity Markets: A Revisit," The Financial Review, Eastern Finance Association, vol. 34(2), pages 57-72, May.
    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. 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.
    2. 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.
    3. Saliha Theiri & Abdessatar Ati, 2020. "Weak Form of Efficiency Hypotheses: Empirical Modeling With Box ¨CPierce, ADF and ARCH Tests," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 137-149, October.
    4. David de Villiers & Natalya Apopo & Andrew Phiri & David McMillan, 2020. "Unobserved structural shifts and asymmetries in the random walk model for stock returns in African frontier markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1769348-176, January.
    5. Pourakin Djarius Dieudonné BAMA, 2020. "Portfolio Management on an Emerging Market: Dynamic Strategy or Passive Strategy?," Business and Management Studies, Redfame publishing, vol. 6(2), pages 1526-1526, 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. Lagoarde-Segot, Thomas & Lucey, Brian M., 2008. "Efficiency in emerging markets--Evidence from the MENA region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(1), pages 94-105, February.
    2. Francesco Guidi & Rakesh Gupta & Suneel Maheshwari, 2011. "Weak-form Market Efficiency and Calendar Anomalies for Eastern Europe Equity Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 10(3), pages 337-389, December.
    3. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
    4. Graham Smith & Aneta Dyakova, 2014. "African Stock Markets: Efficiency and Relative Predictability," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 258-275, June.
    5. Leonard Grebe & Dirk Schiereck, 2024. "Day-of-the-week effect: a meta-analysis," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1057-1094, December.
    6. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    7. Bley, Jorg, 2011. "Are GCC stock markets predictable?," Emerging Markets Review, Elsevier, vol. 12(3), pages 217-237, September.
    8. 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.
    9. P., Srinivasan & M., Kalaivani, 2013. "Day-of-the-Week Effects in the Indian stock market," MPRA Paper 46805, University Library of Munich, Germany.
    10. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    11. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    12. Al Janabi, Mazin A.M. & Hatemi-J, Abdulnasser & Irandoust, Manuchehr, 2010. "An empirical investigation of the informational efficiency of the GCC equity markets: Evidence from bootstrap simulation," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 47-54, January.
    13. Sheereen Fauzel, 2016. "A Generalized Autoregressive Conditional Heteroscedastic Approach for the Assessment of Weak-form-efficiency and Seasonality Effect: Evidence from Mauritius," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 745-755.
    14. Nickolaos Tsangarakis, 2007. "The day-of-the-week effect in the Athens Stock Exchange (ASE)," Applied Financial Economics, Taylor & Francis Journals, vol. 17(17), pages 1447-1454.
    15. Fathia Elleuch Lahyani, 2014. "Are MENA and Pacific Basin Stock Equity Markets Predictable?," SAGE Open, , vol. 4(4), pages 21582440145, December.
    16. Baker, H. Kent & Rahman, Abdul & Saadi, Samir, 2008. "The day-of-the-week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, Elsevier, vol. 17(4), pages 280-295, December.
    17. Buguk, Cumhur & Wade Brorsen, B., 2003. "Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 579-590.
    18. Kinga Niemczak & Graham Smith, 2013. "Middle Eastern stock markets: absolute, evolving and relative efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 23(3), pages 181-198, February.
    19. Sumra Abbas & Attiya Yasmin Javid, 2015. "The Day-of-the-Week Anomaly in Market Returns, Volume and Volatility in SAARC Countries," PIDE-Working Papers 2015:129, Pakistan Institute of Development Economics.
    20. Jasim Al-Ajmi & J. H. Kim, 2012. "Are Gulf stock markets efficient? Evidence from new multiple variance ratio tests," Applied Economics, Taylor & Francis Journals, vol. 44(14), pages 1737-1747, May.

    More about this item

    Keywords

    African stock markets; random walk hypothesis; day of the week effects;
    All these keywords.

    JEL classification:

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

    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:afj:journl:v:12:y:2010:i:conference:p:1-26. 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: Kirk De Doncker (email available below). General contact details of provider: https://edirc.repec.org/data/afrgrza.html .

    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.