Month-of-the-year and pre-holiday seasonality in African stock markets
Paul Alagidede ()
No 2008-23, Stirling Economics Discussion Papers from University of Stirling, Division of Economics
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.
Keywords: Calendar effects; African stock markets; month of the year and pre-holiday effects (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-afr
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:stl:stledp:2008-23
Access Statistics for this paper
More papers in Stirling Economics Discussion Papers from University of Stirling, Division of Economics Division of Economics, University of Stirling, Stirling, Scotland FK9 4LA. Contact information at EDIRC.
Bibliographic data for series maintained by Liam Delaney ( this e-mail address is bad, please contact ).