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The wandering weekday effect in major stock markets

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  • Doyle, John R.
  • Chen, Catherine Huirong
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    Abstract

    This paper reports a wandering weekday effect: the pattern of day seasonality in stock market returns is not fixed, as assumed in the Monday or weekend effects, but changes over time. Analysing daily closing prices in eleven major stock markets during 1993-2007, our results show that the wandering weekday is not conditional on average returns in the previous week (the "twist" in the Monday effect). Nor does it diminish through the period of analysis. The results have important implications for market efficiency, and help to reconcile mixed findings in previous studies, including the reported disappearance of the weekday effect in recent years.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 33 (2009)
    Issue (Month): 8 (August)
    Pages: 1388-1399

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    Handle: RePEc:eee:jbfina:v:33:y:2009:i:8:p:1388-1399

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    Web page: http://www.elsevier.com/locate/jbf

    Related research

    Keywords: Seasonality Weekday effect Monday effect Market efficiency Stock markets;

    References

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    1. 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.
    2. Galai, Dan & Kedar-Levy, Haim & Schreiber, Ben Z., 2008. "Seasonality in outliers of daily stock returns: A tail that wags the dog?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 784-792, December.
    3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
    4. Venezia, Itzhak & Shapira, Zur, 2007. "On the behavioral differences between professional and amateur investors after the weekend," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1417-1426, May.
    5. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
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    14. Su Han Chan & Wai-Kin Leung & Ko Wang, 2004. "The Impact of Institutional Investors on the Monday Seasonal," The Journal of Business, University of Chicago Press, vol. 77(4), pages 967-986, October.
    15. Jaffe, Jeffrey F. & Westerfield, Randolph & Ma, Christopher, 1989. "A twist on the Monday effect in stock prices: Evidence from the U.S. and foreign stock markets," Journal of Banking & Finance, Elsevier, vol. 13(4-5), pages 641-650, September.
    16. Asem, Ebenezer, 2009. "Dividends and price momentum," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 486-494, March.
    17. Ke, Mei-Chu & Chiang, Yi-Chein & Liao, Tung Liang, 2007. "Day-of-the-week effect in the Taiwan foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2847-2865, September.
    18. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
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    20. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    21. 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.
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    Citations

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    Cited by:
    1. Marshall, Ben R. & Visaltanachoti, Nuttawat, 2010. "The Other January Effect: Evidence against market efficiency?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2413-2424, October.
    2. Doyle, John R. & Chen, Catherine H., 2013. "Patterns in stock market movements tested as random number generators," European Journal of Operational Research, Elsevier, vol. 227(1), pages 122-132.
    3. Rakowski, David & Wang, Xiaoxin, 2009. "The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2102-2109, November.
    4. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    5. Doyle, John R. & Chen, Catherine Huirong, 2012. "A multidimensional classification of market anomalies: Evidence from 76 price indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1237-1257.
    6. 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.
    7. Ali F. Darrat & Bin Li & Benjamin Liu & Jen Je Su, 2011. "A Fresh Look at Seasonal Anomalies: An International Perspective," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 10(2), pages 93-116, August.
    8. Dunis, Christian & Kellard, Neil M. & Snaith, Stuart, 2013. "Forecasting EUR–USD implied volatility: The case of intraday data," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4943-4957.
    9. Sun, Qian & Tong, Wilson H.S., 2010. "Risk and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 965-974, May.

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