IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v182y2019icp90-92.html
   My bibliography  Save this article

Day-of-the-week effect in anomaly returns: International evidence

Author

Listed:
  • Chiah, Mardy
  • Zhong, Angel

Abstract

This paper examines the day-of-the-week effect in anomalies (Birru, 2018) in 24 international equity markets. In particular, the returns to the quality-minus-junk (QMJ) factor on different weekdays are studied. The QMJ factor resembles the difference between speculative and non-speculative stocks in Birru (2018). We find that QMJ generates a positive (negative) premium on Monday (Friday). The QMJ premium on Monday is 2.89 times higher than its daily average. Our findings are consistent with the notion that investors are more optimistic (pessimistic) about the future prospect of speculative stocks on Friday (Monday). As such, there is a stronger preference for non-speculative (speculative) stocks on Monday (Friday), leading to the day-of-the-week effect around the world.

Suggested Citation

  • Chiah, Mardy & Zhong, Angel, 2019. "Day-of-the-week effect in anomaly returns: International evidence," Economics Letters, Elsevier, vol. 182(C), pages 90-92.
  • Handle: RePEc:eee:ecolet:v:182:y:2019:i:c:p:90-92
    DOI: 10.1016/j.econlet.2019.05.042
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176519302010
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2019.05.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuan Li, 2022. "Mood Beta, Sentiment and Stock Returns in China," SAGE Open, , vol. 12(1), pages 21582440221, February.
    2. Ali, Fahad & Ülkü, Numan, 2020. "Weekday seasonality of stock returns: The contrary case of China," Journal of Asian Economics, Elsevier, vol. 68(C).
    3. Khushboo Aggarwal & Mithilesh Kumar Jha, 2023. "Stock returns seasonality in emerging asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 109-130, March.
    4. Lucy F. Ackert & George Athanassakos, 2021. "Gamesmanship and Seasonality in U.S. Stock Returns," JRFM, MDPI, vol. 14(5), pages 1-11, May.
    5. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    6. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2021. "The day-of-the-week-effect on the volatility of commodities," Resources Policy, Elsevier, vol. 71(C).
    7. 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).
    8. Aleksandra Rutkowska & Agata Kliber, 2021. "Say anything you want about me if you spell my name right: the effect of Internet searches on financial market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 633-664, June.
    9. Ivan S. Blahun & Lesia Dmytryshyn & Ivan I. Blahun & Semen Blahun, 2022. "Stock Indices as Indicators of Market Efficiency and Interaction," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 87-106.

    More about this item

    Keywords

    International evidence; Seasonality; Stock returns; Investor sentiment;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • F30 - International Economics - - International Finance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:182:y:2019:i:c:p:90-92. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.