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The Disappearing Calendar Anomalies in the Singapore Stock Market

Author

Listed:
  • Wing-Keung Wong

    (Department of Economics, National University of Singapore, Singapore.)

  • Aman Agarwal

    (Professor of Finance & Director (Offg), Indian Institute of Finance, Ashok Vihar, Delhi, India.)

  • Nee-Tat Wong

    (Lecturer, The Tourism Academy at Sentosa, Temasek Polytechnic, Singapore.)

Abstract

This paper investigates the calendar anomalies in the Singapore stock market over the recent period from1993-2005. Specifically, changes in stock index returns are examined surroundingJanuary (the January effect), on different days of the week (the day-of-the-week effect), around the turn of the month (the turn-of-the-month effect) and before holidays (the pre-holiday effect). The findings reveal that these anomalies have largely disappeared from the Singapore stock market in recent years. The disappearance of these anomalies has important implications forthe efficient market hypothesis and the trading behavior of investors.

Suggested Citation

  • Wing-Keung Wong & Aman Agarwal & Nee-Tat Wong, 2006. "The Disappearing Calendar Anomalies in the Singapore Stock Market," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(2), pages 123-139, Jul-Dec.
    • Handle: RePEc:lje:journl:v:11:y:2006:i:2:p:123-139
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    References listed on IDEAS

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    2. Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," Discussion Papers of DIW Berlin 1573, DIW Berlin, German Institute for Economic Research.
    3. 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.
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    5. Dumitriu, Ramona & Stefanescu, Răzvan, 2020. "The Extended Holiday Effect on US capital market," MPRA Paper 100463, University Library of Munich, Germany, revised 17 May 2020.
    6. N.N. Sawitri & P. Astuty, 2018. "Market Anomalies and Effect on Returns," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 630-649.
    7. Georgios Bampinas & Stilianos Fountas & Theodore Panagiotidis, 2015. "The day-of-the-week effect is weak: Evidence from the European Real Estate Sector," Discussion Paper Series 2015_02, Department of Economics, University of Macedonia, revised May 2015.
    8. Matteo Rossi & Gabriella Marcarelli & Antonella Ferraro & Antonio Lucadamo, 2020. "How do Calendar Anomalies Affect an Investment Choice? A Proposal of an Analytic Hierarchy Process Model," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 244-249.
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    More about this item

    Keywords

    Calendar anomalies; January effect; day-of-the-week effect; turn-of-the-month effect; pre-holiday effect.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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