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Reversal of Monday returns: It is the afternoon that matters

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  • Pigorsch, Uta
  • Schäfer, Sebastian

Abstract

This study dissects the well-known Monday return reversal by separating the Monday into a morning and afternoon period. So far, the literature on the Monday return reversal is limited to the analysis of daily, primarily market returns. Using a large cross-section of U.S. intraday stock return data from 2007 to 2022, we find that only Monday afternoon but not morning returns reverse over the rest of the week. The effect is stronger for larger firms and not explained by common risk factors or earnings announcements. It is mostly prevalent for those stocks for which investor disagreement is high on Monday.

Suggested Citation

  • Pigorsch, Uta & Schäfer, Sebastian, 2024. "Reversal of Monday returns: It is the afternoon that matters," Finance Research Letters, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:finlet:v:65:y:2024:i:c:s1544612324005555
    DOI: 10.1016/j.frl.2024.105525
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    References listed on IDEAS

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    1. Wang, Ko & Li, Yuming & Erickson, John, 1997. "A New Look at the Monday Effect," Journal of Finance, American Finance Association, vol. 52(5), pages 2171-2186, December.
    2. 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.
    3. Joshua D. Coval & Tyler Shumway, 2005. "Do Behavioral Biases Affect Prices?," Journal of Finance, American Finance Association, vol. 60(1), pages 1-34, February.
    4. Carlin, Bruce I. & Longstaff, Francis A. & Matoba, Kyle, 2014. "Disagreement and asset prices," Journal of Financial Economics, Elsevier, vol. 114(2), pages 226-238.
    5. 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.
    6. Bessembinder, Hendrik & Hertzel, Michael G, 1993. "Return Autocorrelations around Nontrading Days," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 155-189.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Jiang, Hao & Li, Sophia Zhengzi & Wang, Hao, 2021. "Pervasive underreaction: Evidence from high-frequency data," Journal of Financial Economics, Elsevier, vol. 141(2), pages 573-599.
    9. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    10. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    11. Numan Ülkü & Kristiyan Andonov, 2016. "Reversal of Monday returns," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 649-665, April.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Asset Pricing; Investors disagreement; Return reversal; Return prediction;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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