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Weather effects on returns: Evidence from the Korean stock market

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  • Yoon, Seong-Min
  • Kang, Sang Hoon

Abstract

In this study, we attempted to determine whether a relationship exists between stock returns and the weather variables of temperature, humidity, and cloud cover in the Korean stock market. We delineated three key implications with regard to weather effects. First, after the 1997 financial crisis, the presence of a weather effect disappeared. Second, the inclusion of weather variables helps to model the GJR-GARCH process in the conditional variance. Third, the interaction effects of weather variables fully demonstrate the weather effect, but the interaction effects also vanished after the crisis. Overall, the findings of this study indicate that the weather effect was weakened as the result of heightened market efficiency.

Suggested Citation

  • Yoon, Seong-Min & Kang, Sang Hoon, 2009. "Weather effects on returns: Evidence from the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(5), pages 682-690.
  • Handle: RePEc:eee:phsmap:v:388:y:2009:i:5:p:682-690
    DOI: 10.1016/j.physa.2008.11.017
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    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Angel Pardo & Enric Valor, 2003. "Spanish Stock Returns: Where is the Weather Effect?," European Financial Management, European Financial Management Association, vol. 9(1), pages 117-126, March.
    3. 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.
    4. Kim, Kyungsik & Yoon, Seong-Min & Kim, SooYong & Chang, Ki-Ho & Kim, Yup & Hoon Kang, Sang, 2007. "Dynamical structures of high-frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 525-531.
    5. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, September.
    6. William N. Goetzmann & Ning Zhu, 2005. "Rain or Shine: Where is the Weather Effect?," European Financial Management, European Financial Management Association, vol. 11(5), pages 559-578, November.
    7. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    8. Chang, Tsangyao & Nieh, Chien-Chung & Yang, Ming Jing & Yang, Tse-Yu, 2006. "Are stock market returns related to the weather effects? Empirical evidence from Taiwan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 343-354.
    9. Chul Park, Yung & Chung, Chae-Shick & Wang, Yunjong, 2001. "Fear of Floating: Korea's Exchange Rate Policy after the Crisis," Journal of the Japanese and International Economies, Elsevier, vol. 15(2), pages 225-251, June.
    10. Jacobsen, Ben & Marquering, Wessel, 2008. "Is it the weather?," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 526-540, April.
    11. Kramer, Walter & Runde, Ralf, 1997. "Stocks and the Weather: An Exercise in Data Mining or Yet Another Capital Market Anomaly?," Empirical Economics, Springer, vol. 22(4), pages 637-641.
    12. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. Dowling, Michael & Lucey, Brian M., 2005. "Weather, biorhythms, beliefs and stock returns--Some preliminary Irish evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 337-355.
    14. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    15. Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
    16. 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.
    17. Podobnik, Boris & Ivanov, Plamen Ch. & Grosse, Ivo & Matia, Kaushik & Eugene Stanley, H., 2004. "ARCH–GARCH approaches to modeling high-frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 216-220.
    18. oh, Gabjin & Kim, Seunghwan & Eom, Cheoljun, 2008. "Long-term memory and volatility clustering in high-frequency price changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1247-1254.
    19. Sazuka, Naoya & Ohira, Toru & Marumo, Kouhei & Shimizu, Tokiko & Takayasu, Misako & Takayasu, Hideki, 2003. "A dynamical structure of high frequency currency exchange market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 366-371.
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