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Weather-Induced Moods and Stock-Return Autocorrelation

Author

Listed:
  • Anya Khanthavit

    (Faculty of Commerce and Accountancy, Thammasat University, Bangkok, Thailand.)

Abstract

TMoods affect investors’ attention, memory, and capacity to process information. Inattentive investors delay the price adjustment process, thus leading to a positive autocorrelation of asset returns. In this study, I investigate the relationship between weather-induced moods and stock-return autocorrelation in the Stock Exchange of Thailand from January 2, 1991, to December 29, 2017. Only good moods contribute significantly to return autocorrelation. JEL Classification: G40, G41

Suggested Citation

  • Anya Khanthavit, 2020. "Weather-Induced Moods and Stock-Return Autocorrelation," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 23(1), pages 19-33, May.
    • Handle: RePEc:zag:zirebs:v:23:y:2020:i:1:p:19-33
    DOI: 10.2478/zireb-2020-0002
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    References listed on IDEAS

    as
    1. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    2. Vincent Bogousslavsky, 2016. "Infrequent Rebalancing, Return Autocorrelation, and Seasonality," Journal of Finance, American Finance Association, vol. 71(6), pages 2967-3006, December.
    3. Ed Dehaan & Joshua Madsen & Joseph D. Piotroski, 2017. "Do Weather‐Induced Moods Affect the Processing of Earnings News?," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 55(3), pages 509-550, June.
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    Keywords

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    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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