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Effect of wind on stock market returns: evidence from European markets

Author

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  • Hui-Chu Shu
  • Mao-Wei Hung

Abstract

Environmental psychology studies have found evidence that wind speed has a strong influence on mood and comfort. This study investigated the relationship between wind speed and daily stock market returns across 18 European countries from 1994 to 2004. A significant and pervasive wind effect was found on stock returns. This finding was supported by psychological literature claiming that mood affects judgement and decision-making in situations involving uncertainty and risk, and coincides with the argument of misattribution. This investigation also found strong seasonality effect and temperature effect in European stock markets. Specifically, the influence of wind on stock returns is demonstrated to be more significant than that of sunlight, indicating that wind might exert a stronger impact on mood than sunshine and hence be a better proxy for mood than sunshine. Above all, our findings contradict the rational asset-pricing hypothesis and contribute to the behavioural finance literature.

Suggested Citation

  • Hui-Chu Shu & Mao-Wei Hung, 2009. "Effect of wind on stock market returns: evidence from European markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(11), pages 893-904.
    • Handle: RePEc:taf:apfiec:v:19:y:2009:i:11:p:893-904
    DOI: 10.1080/09603100802243766
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    References listed on IDEAS

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    1. Anya Krivelyova & Cesare Robotti, 2003. "Playing the field: Geomagnetic storms and international stock markets," FRB Atlanta Working Paper 2003-5, Federal Reserve Bank of Atlanta.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The answer is blowin' in the wind
      by Drunkeynesian in The Drunkeynesian on 2009-08-14 00:48:00

    Citations

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    Cited by:

    1. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    2. Liu, Huajin & Zhang, Wei & Zhang, Xiaotao & Liu, Jia, 2021. "Temperature and trading behaviours," International Review of Financial Analysis, Elsevier, vol. 78(C).
    3. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    4. Chen, Zhonglu & Zhang, Li & Weng, Chen, 2023. "Does climate policy uncertainty affect Chinese stock market volatility?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 369-381.
    5. Shu, Hui-Chu, 2010. "Investor mood and financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 267-282, November.
    6. Kirk-Reeve, Samuel & Gehricke, Sebastian A. & Ruan, Xinfeng & Zhang, Jin E., 2021. "National air pollution and the cross-section of stock returns in China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    7. Frühwirth, Manfred & Sögner, Leopold, 2015. "Weather and SAD related mood effects on the financial market," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 11-31.
    8. Schulte-Huermann, Astrid, 2020. "Impact of Weather on the Stock Market Returns of Different Industries in Germany," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(3), pages 295-311.
    9. Chinnadurai Kathiravan & Murugesan Selvam & Sankaran Venkateswar & S. Balakrishnan, 2021. "Investor behavior and weather factors: evidences from Asian region," Annals of Operations Research, Springer, vol. 299(1), pages 349-373, April.
    10. Emon Kalyan Chowdhury, 2024. "Do weather patterns effect investment decisions in the stock market? A South Asian perspective," Journal of Asset Management, Palgrave Macmillan, vol. 25(2), pages 162-171, March.
    11. Silva, Pedro & Almeida, Liliana, 2011. "Weather and stock markets: empirical evidence from Portugal," MPRA Paper 54119, University Library of Munich, Germany.

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