Does Weather Matter?
AbstractWe use semi-parametric bin tests, regression analyses and copula modeling techniques to identify the relationship between temperature and stock market returns. After examining 25 international stock markets, we find that the negative correlation is statistically significant in individual countries, i.e. the higher is the temperature, the lower the stock returns. However, we fail to find joint significance of temperature effects across markets after correcting for market comovement by seemingly unrelated regression. We also find negative temperature effects on returns are robust to different measures of daily temperature. Both constant-dependence and time-varying-dependence conditional copula models are employed to analyze the general dependence between temperature and stock market returns. The copula results show that the negative relation remains after controlling for autocorrelations, GARCH effects and non-normality and the dependence between temperature and stock market returns is relatively stable over time.
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Bibliographic InfoPaper provided by Southern Methodist University, Department of Economics in its series Departmental Working Papers with number 0809.
Date of creation: Nov 2008
Date of revision:
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Postal: Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496
Web page: http://www.smu.edu/economics
Stock market returns; Temperature; Copula.;
Find related papers by JEL classification:
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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- G. William Schwert, 1990.
"Why Does Stock Market Volatility Change Over Time?,"
NBER Working Papers
2798, National Bureau of Economic Research, Inc.
- Schwert, G William, 1989. " Why Does Stock Market Volatility Change over Time?," Journal of Finance, American Finance Association, vol. 44(5), pages 1115-53, December.
- Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August.
- Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-45, December.
- Jacobsen, B. & Marquering, W.A., 2004. "Is it the weather?," ERIM Report Series Research in Management ERS-2004-100-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- David Hirshleifer & TYLER G. SHUMWAY, 2004.
"Good Day Sunshine: Stock Returns and the Weather,"
- Andrew Patton, 2004.
"Modelling Asymmetric Exchange Rate Dependence,"
wp04-04, Warwick Business School, Finance Group.
- Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000.
"Losing Sleep at the Market: The Daylight Saving Anomaly,"
American Economic Review,
American Economic Association, vol. 90(4), pages 1005-1011, September.
- 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.
- 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.
- Mark Kamstra & Lisa Kramer & Maurice Levi, 2002.
"Winter blues: a SAD stock market cycle,"
2002-13, Federal Reserve Bank of Atlanta.
- Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.
- French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
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