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Causality Of Weather Conditions In Australian Stock Equity Returns

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  • Svetlana Vlady

    (Griffith University Department of Accounting, Finance and Economics, Gold Coast campus Queensland, Australia)

  • Ekrem Tufan, PhD

    (Canakkale Onsekiz Mart University School of Tourism and Hotel Management Canakkale,Turkey)

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    Abstract

    This study investigates causality of weather and its impact on Australian stock market returns. The Australian S&P/ASX Index 200, which includes exclusively Australian domicile companies as well as some weather-sensitive companies, has been selected as a proxy for the Australian capital market. This chapter contributes empirical findings on the impact of weather conditions on stock returns and discusses it from the Efficient Market Hypothesis (EMH) and Behavioral Finance (BF) perspectives. The ARCH and CARCH models along with the Granger Causality test are applied to gain precise and accurate results. On one hand, the capital market could respond to new weather-related information (news) and could incorporate this information in the stock valuation process. Alternatively, stock prices could be affected by the mental and/or physical changes in investors caused by weather conditions.

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    Bibliographic Info

    Article provided by University of Craiova, Faculty of Economics and Business Administration in its journal Revista Tinerior Economisti(The Young Economists Journal).

    Volume (Year): 1 (2011)
    Issue (Month): 17 (November)
    Pages: 184-197

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    Handle: RePEc:aio:rteyej:v:1:y:2011:i:17:p:184-197

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    Related research

    Keywords: Weather Effect; Granger Causality Test; Australian Stock Exchange; ARCH and GARCH Tests;

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    References

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    1. 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.
    2. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    3. Kliger, Doron & Levy, Ori, 2008. "Mood impacts on probability weighting functions: "Large-gamble" evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1397-1411, August.
    4. Dowling, Michael & Lucey, Brian M., 2008. "Robust global mood influences in equity pricing," Journal of Multinational Financial Management, Elsevier, vol. 18(2), pages 145-164, April.
    5. Levy, Ori & Galili, Itai, 2008. "Stock purchase and the weather: Individual differences," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 755-767, September.
    6. Kamstra, M.J. & Kramer, L.A. & Levi, M.D., 1998. "Losing Sleep at the Market: The Daylight-Savings Anomaly," Discussion Papers dp98-04, Department of Economics, Simon Fraser University.
    7. William Goetzmann & Ning Zhu, 2002. "Rain or Shine: Where is the Weather Effect?," Yale School of Management Working Papers ysm296, Yale School of Management, revised 01 Sep 2009.
    8. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
    9. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2008. "Weather and intraday patterns in stock returns and trading activity," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1754-1766, September.
    10. Ian Garrett & Mark Kamstra & Lisa Kramer, 2004. "Winter blues and time variation in the price of risk," Working Paper 2004-8, Federal Reserve Bank of Atlanta.
    11. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-45, December.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
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