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Calendar anomalies in stock market returns: Evidence from Middle East countries

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  • Shehadeh, Ali A.
  • Zheng, Min

Abstract

Using GJR-GARCH (1,1) techniques, we investigate seasonality in stock market returns of seven Middle East countries. We investigate the calendar time anomalies of the day-of-the-week, the-month-of-the-year, the turn-of-the-month effect and the half-month effect. All stock markets of our sample exhibit significant evidence on all or most of the considered anomalies. The paper contributes to our understanding of calendar anomalies by providing an out-of-sample test through considering stock markets and sample periods which have not been examined thoroughly and sufficiently before. In addition, the paper provides further insights and evidence on the nature, existence and persistence of the seasonal patterns in emerging stock market returns. Overall, our results contradict the efficient market hypothesis (EMH). The results suggest that calendar anomalies remain prominent challenge to the EMH and its implications.

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  • Shehadeh, Ali A. & Zheng, Min, 2023. "Calendar anomalies in stock market returns: Evidence from Middle East countries," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 962-980.
  • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:962-980
    DOI: 10.1016/j.iref.2023.07.013
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    1. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
    2. Dubois, M. & Louvet, P., 1996. "The day-of-the-week effect: The international evidence," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1463-1484, November.
    3. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    4. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    5. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Yang, Ann Shawing, 2016. "Calendar trading of Taiwan stock market: A study of holidays on trading detachment and interruptions," Emerging Markets Review, Elsevier, vol. 28(C), pages 140-154.
    8. Gultekin, Mustafa N. & Gultekin, N. Bulent, 1983. "Stock market seasonality : International Evidence," Journal of Financial Economics, Elsevier, vol. 12(4), pages 469-481, December.
    9. Dichtl, Hubert & Drobetz, Wolfgang, 2015. "Sell in May and Go Away: Still good advice for investors?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 29-43.
    10. 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.
    11. Roll, Richard, 1983. "On computing mean returns and the small firm premium," Journal of Financial Economics, Elsevier, vol. 12(3), pages 371-386, November.
    12. Kayacetin, Volkan & Lekpek, Senad, 2016. "Turn-of-the-month effect: New evidence from an emerging stock market," Finance Research Letters, Elsevier, vol. 18(C), pages 142-157.
    13. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    14. Battalio, Robert H. & Mendenhall, Richard R., 2005. "Earnings expectations, investor trade size, and anomalous returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 77(2), pages 289-319, August.
    15. Ball, Ray, 1978. "Anomalies in relationships between securities' yields and yield-surrogates," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 103-126.
    16. Carrazedo, Tiago & Curto, José Dias & Oliveira, Luís, 2016. "The Halloween effect in European sectors," Research in International Business and Finance, Elsevier, vol. 37(C), pages 489-500.
    17. Jun Chen & Bart Frijns & Ivan Indriawan & Haodong Ren, 2019. "Turn of the Month effect in the New Zealand stock market," New Zealand Economic Papers, Taylor & Francis Journals, vol. 53(3), pages 288-306, September.
    18. Reinganum, Marc R., 1983. "The anomalous stock market behavior of small firms in January : Empirical tests for tax-loss selling effects," Journal of Financial Economics, Elsevier, vol. 12(1), pages 89-104, June.
    19. Doyle, John R. & Chen, Catherine Huirong, 2009. "The wandering weekday effect in major stock markets," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1388-1399, August.
    20. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.
    21. 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.
    22. Dimitar Tonchev & Tae-Hwan Kim, 2004. "Calendar effects in Eastern European financial markets: evidence from the Czech Republic, Slovakia and Slovenia," Applied Financial Economics, Taylor & Francis Journals, vol. 14(14), pages 1035-1043.
    23. Kunkel, Robert A. & Compton, William S. & Beyer, Scott, 2003. "The turn-of-the-month effect still lives: the international evidence," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 207-221.
    24. Chiah, Mardy & Zhong, Angel, 2021. "Tuesday Blues and the day-of-the-week effect in stock returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    25. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    26. 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.
    27. Brian Lucey, 2005. "Are local or international influences responsible for the pre-holiday behaviour of Irish equities?," Applied Financial Economics, Taylor & Francis Journals, vol. 15(6), pages 381-389.
    28. Barone, E., 1990. "The italian stock market : Efficiency and calendar anomalies," Journal of Banking & Finance, Elsevier, vol. 14(2-3), pages 483-510, August.
    29. Steeley, James M., 2001. "A note on information seasonality and the disappearance of the weekend effect in the UK stock market," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1941-1956, October.
    30. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March.
    31. Seyed Mehdian & Mark Perry, 2002. "Anomalies in US equity markets: a re-examination of the January effect," Applied Financial Economics, Taylor & Francis Journals, vol. 12(2), pages 141-145.
    32. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    33. 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.
    34. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
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    More about this item

    Keywords

    Calendar anomalies; Efficient market hypothesis; Emerging stock markets; Middle East stock markets; GJR-GARCH;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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