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Weather, Mood and Stock Market Returns in Argentina

Author

Listed:
  • Bakri Abdul Karim
  • Muhammad Hafiz Mohd Shukri
  • Sharon Tay Chyu Yuin

Abstract

The paper examines the relationship between weather and stock market returns in the Argentina’s stock market using daily data from 2001 to 2014 and regression models. The data consists of stock market returns, temperature, humidity and wind. The empirical findings show that all weather variables (temperature, humidity and wind) have significant relationship with stock market returns in some of the trading days in the week. We also find evidence of the existence of day-of-week effect in the stock market. On average, the highest return falls on Friday and lowest return falls on Monday. Temperature is considered very significant in influencing the stock market returns in Argentina. Our findings suggest that the stock market returns are higher when the temperature is higher. This phenomenon is related to the seasonal affective disorder (SAD). We can conclude that stock market of Argentina is not informational efficient. The results have major implications for traders, individual investors, fund managers and financial institutions to make investment planning in the Argentina’s stock market.

Suggested Citation

  • Bakri Abdul Karim & Muhammad Hafiz Mohd Shukri & Sharon Tay Chyu Yuin, 2018. "Weather, Mood and Stock Market Returns in Argentina," Accounting and Finance Research, Sciedu Press, vol. 7(4), pages 159-159, November.
    • Handle: RePEc:jfr:afr111:v:7:y:2018:i:4:p:159
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    References listed on IDEAS

    as
    1. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
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    3. Stephen Keef & Melvin Roush, 2007. "Daily weather effects on the returns of Australian stock indices," Applied Financial Economics, Taylor & Francis Journals, vol. 17(3), pages 173-184.
    4. Giovanis, Eleftherios, 2009. "The Month-of-the-year Effect: Evidence from GARCH models in Fifty Five Stock Markets," MPRA Paper 22328, University Library of Munich, Germany.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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