Winter Blues: A SAD Stock Market Cycle
This paper investigates the role of seasonal affective disorder (SAD) in the seasonal time-variation of stock market returns. SAD is an extensively documented medical condition whereby the shortness of the days in fall and winter leads to depression for many people. Experimental research in psychology and economics indicates that depression, in turn, causes heightened risk aversion. Building on these links between the length of day, depression, and risk aversion, we provide international evidence that stock market returns vary seasonally with the length of the day, a result we call the SAD effect. Using data from numerous stock exchanges and controlling for well-known market seasonals as well as other environmental factors, stock returns are shown to be significantly related to the amount of daylight through the fall and winter. Patterns at different latitudes and in both hemispheres provide compelling evidence of a link between seasonal depression and seasonal variation in stock returns: Higher latitude markets show more pronounced SAD effects and results in the Southern Hemisphere are six months out of phase, as are the seasons. Overall, the economic magnitude of the SAD effect is large.
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Volume (Year): 93 (2003)
Issue (Month): 1 (March)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tokunaga, Howard, 1993. "The use and abuse of consumer credit: Application of psychological theory and research," Journal of Economic Psychology, Elsevier, vol. 14(2), pages 285-316, June.
- Feldstein, Martin & Horioka, Charles, 1980.
"Domestic Saving and International Capital Flows,"
Royal Economic Society, vol. 90(358), pages 314-29, June.
- Pagan, A.R. & Schwert, G.W., 1989.
"Alternative Models For Conditional Stock Volatility,"
89-02, Rochester, Business - General.
- Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
- Adrian R. Pagan & G. William Schwert, 1990. "Alternative Models For Conditional Stock Volatility," NBER Working Papers 2955, National Bureau of Economic Research, Inc.
- Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
- James A. Ligon, 1997. "A Simultaneous Test Of Competing Theories Regarding The January Effect," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 13-32, 03.
- 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, 06.
- Akgiray, Vedat, 1989. "Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts," The Journal of Business, University of Chicago Press, vol. 62(1), pages 55-80, January.
- Tinic, Seha M. & West, Richard R., 1984. "Risk and return : Janaury vs. the rest of the year," Journal of Financial Economics, Elsevier, vol. 13(4), pages 561-574, December.
- Susmel, Raul & Engle, Robert F., 1994. "Hourly volatility spillovers between international equity markets," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 3-25, February.
- Chang, Eric C. & Pinegar, J. Michael, 1989. "Seasonal Fluctuations in Industrial Production and Stock Market Seasonals," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(01), pages 59-74, March.
- Brown, Philip & Keim, Donald B. & Kleidon, Allan W. & Marsh, Terry A., 1983. "Stock return seasonalities and the tax-loss selling hypothesis : Analysis of the arguments and Australian evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 105-127, June.
- Engle, Robert F & Ng, Victor K, 1993.
" Measuring and Testing the Impact of News on Volatility,"
Journal of Finance,
American Finance Association, vol. 48(5), pages 1749-78, December.
- Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
- Karen K. Lewis, 1999. "Trying to Explain Home Bias in Equities and Consumption," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 571-608, June.
- Ritter, Jay R, 1988. " The Buying and Selling Behavior of Individual Investors at the Turn of the Year," Journal of Finance, American Finance Association, vol. 43(3), pages 701-17, July.
- Bhardwaj, Ravinder K & Brooks, LeRoy D, 1992. " The January Anomaly: Effects of Low Share Price, Transaction Costs, and Bid-Ask Bias," Journal of Finance, American Finance Association, vol. 47(2), pages 553-75, June.
- MacKinnon, James G. & White, Halbert, 1985.
"Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,"
Journal of Econometrics,
Elsevier, vol. 29(3), pages 305-325, September.
- James G. MacKinnon & Halbert White, 1983. "Some Heteroskedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties," Working Papers 537, Queen's University, Department of Economics.
- Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
- Donaldson, R. Glen & Kamstra, Mark, 1997. "An artificial neural network-GARCH model for international stock return volatility," Journal of Empirical Finance, Elsevier, vol. 4(1), pages 17-46, January.
- I. Bowen, 1965. "A Comment," The Economic Record, The Economic Society of Australia, vol. 41(96), pages 637-638, December.
- Athanassakos, George & Schnabel, Jacques A., 1994. "Professional portfolio managers and the January effect: theory and evidence," Review of Financial Economics, Elsevier, vol. 4(1), pages 79-91.
- Kramer, Charles, 1994. " Macroeconomic Seasonality and the January Effect," Journal of Finance, American Finance Association, vol. 49(5), pages 1883-91, December.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
- 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.
- Kato, Kiyoshi & Schallheim, James S., 1985. "Seasonal and Size Anomalies in the Japanese Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(02), pages 243-260, June.
- Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-45, December.
- G. O. Bierwag & M. A. Grove, 1965. "On Capital Asset Prices: Comment," Journal of Finance, American Finance Association, vol. 20(1), pages 89-93, 03.
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