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Overnight Returns: An International Sentiment Measure

Author

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  • Florian Weißofner
  • Ulrich Wessels

Abstract

The suitability of overnight returns as a firm-specific investor sentiment measure, previously found in the United States, is similarly present in international equity markets. This delivers a completely novel approach to measure investor sentiment at the firm level. For applicability reasons overnight returns have to fulfill 3 characteristics that would be expected of a sentiment measure. First, overnight returns persist in the short run; second, this persistence is stronger among harder-to-value firms; and third, stocks with high overnight returns underperform in the long run. Implementing this novel sentiment measure on a common anomaly, the authors find explanatory power even beyond a market-wide sentiment measure.

Suggested Citation

  • Florian Weißofner & Ulrich Wessels, 2020. "Overnight Returns: An International Sentiment Measure," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(2), pages 205-217, April.
    • Handle: RePEc:taf:hbhfxx:v:21:y:2020:i:2:p:205-217
    DOI: 10.1080/15427560.2019.1663855
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    Citations

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    Cited by:

    1. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    2. Uluyol, Burhan & Hui Pu, Suan & Shaturaev, Jakhongir & Kanaparan, Geetha, 2023. "Cracking the Code of Market Secrets: A Deep Dive into Financial Anomalies," MPRA Paper 119039, University Library of Munich, Germany, revised 05 Oct 2023.
    3. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
    4. Zhao, Xiaojun & Zhang, Na & Zhang, Yali & Xu, Chao & Shang, Pengjian, 2024. "Equity markets volatility clustering: A multiscale analysis of intraday and overnight returns," Journal of Empirical Finance, Elsevier, vol. 77(C).
    5. Zhu, Hongbing & Yang, Lihua & Xu, Changxin, 2023. "Tracking investor gambling intensity," International Review of Financial Analysis, Elsevier, vol. 86(C).

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