Month-of-the-year and pre-holiday seasonality in African stock markets
Seasonal anomalies (calendar effects) may be loosely referred to as the tendency for financial asset returns to display systematic patterns at certain times of the day, week, month or year. Two popular calendar effects are investigated for African stock returns: the month-of-the-year and the pre-holiday effects, and their implication for stock market efficiency. We extend the traditional approach of modelling anomalies using OLS regressions and, examine both the mean and conditional variance. We find high and significant returns in days preceding a public holiday for South Africa, but this finding is not applicable to the other stock markets in our sample. Our results also indicate that the month-of-the-year effect is prevalent in African stock returns. However, due to liquidity and round trip transactions cost the anomalies uncovered may not necessarily violate the no-arbitrage condition. Finally we discuss promising areas for future research using developing stock markets data.
|Date of creation:||Nov 2008|
|Contact details of provider:|| Postal: Division of Economics, University of Stirling, Stirling, Scotland FK9 4LA|
Phone: +44 (0)1786 467473
Fax: +44 (0)1786 467469
Web page: http://www.econ.stir.ac.uk/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Seyhun, H. Nejat, 1993. "Can Omitted Risk Factors Explain the January Effect? A Stochastic Dominance Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(02), pages 195-212, June.
- T. C. Mills & J. V. Jordanov, 2003. "The size effect and the random walk hypothesis: evidence from the London Stock Exchange using Markov Chains," Applied Financial Economics, Taylor & Francis Journals, vol. 13(11), pages 807-815.
- Paul Brockman & David Michayluk, 1998. "The persistent holiday effect: additional evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 205-209.
- Gultekin, Mustafa N. & Gultekin, N. Bulent, 1983. "Stock market seasonality : International Evidence," Journal of Financial Economics, Elsevier, vol. 12(4), pages 469-481, December.
- Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
- Basu, S, 1977. "Investment Performance of Common Stocks in Relation to Their Price-Earnings Ratios: A Test of the Efficient Market Hypothesis," Journal of Finance, American Finance Association, vol. 32(3), pages 663-682, June.
- Ariel, Robert A, 1990. " High Stock Returns before Holidays: Existence and Evidence on Possible Causes," Journal of Finance, American Finance Association, vol. 45(5), pages 1611-1626, December.
- 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.
- Lo, Andrew W. (Andrew Wen-Chuan) & MacKinlay, Archie Craig, 1955-, 1989.
"Data-snooping biases in tests of financial asset pricing models,"
3020-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
- Andrew W. Lo & A. Craig MacKinlay, 1989. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," NBER Working Papers 3001, National Bureau of Economic Research, Inc.
- Terence Mills & J. Andrew Coutts, 1995. "Calendar effects in the London Stock Exchange FT-SE indices," The European Journal of Finance, Taylor & Francis Journals, vol. 1(1), pages 79-93.
- French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
- Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
- Kato, Kiyoshi & Schallheim, James S., 1985. "Seasonal and Size Anomalies in the Japanese Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(02), pages 243-260, June.
- Paul Alagidede, 2008. "Day of the week seasonality in African stock markets," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 4(2), pages 115-120.
- Claessens, Stijn & Dasgupta, Susmita & Glen, Jack, 1995. "Return Behavior in Emerging Stock Markets," World Bank Economic Review, World Bank Group, vol. 9(1), pages 131-151, January.
- 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.
- 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.
- Chan, K. C. & Chen, Nai-fu & Hsieh, David A., 1985. "An exploratory investigation of the firm size effect," Journal of Financial Economics, Elsevier, vol. 14(3), pages 451-471, September.
When requesting a correction, please mention this item's handle: RePEc:stl:stledp:2008-23. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Liam Delaney)
If references are entirely missing, you can add them using this form.