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Political Cycles and the Stock Market

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  • Santa-Clara, Pedro
  • Valkanov, Rossen

Abstract

We find that the average excess return in the stock market is higher under Democratic than Republican presidents– a difference of 9 percent per year for the value-weighted portfolio and 16 percent for the equal-weighted portfolio. The difference is economically and statistically significant, does not seem to be due to small sample biases, and is robust in different subsamples. There is a remarkable monotonicity in the difference of returns for size-decile portfolios, from 7 percent for large firms to about 22 percent for small firms. Presidential partisan cycles have a heterogeneous impact on industry returns: the tobacco, telecom, and chemical industries have performed better under Republican presidents, whereas the real estate, construction, and services industries have fared significantly better under Democrats. We test three plausible explanations for these findings. First, the relation might be due to political variables proxying for business-cycle factors. Second, the relation might be attributed to unexpected returns around elections, when information is revealed, rather than to expected returns varying with the political cycle. Lastly, differences in stock market riskiness across presidential regimes could account for the difference in average returns. We reject all three hypotheses. As it stands, the difference in excess returns during Republican and Democratic presidencies is a puzzle that cannot easily be explained. However, the cross-sectional evidence from size-sorted and industry portfolios suggests that the party in the presidency may affect the stock market through differences in fiscal and regulatory policies.

Suggested Citation

  • Santa-Clara, Pedro & Valkanov, Rossen, 2000. "Political Cycles and the Stock Market," University of California at Los Angeles, Anderson Graduate School of Management qt00n6f3ph, Anderson Graduate School of Management, UCLA.
  • Handle: RePEc:cdl:anderf:qt00n6f3ph
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    References listed on IDEAS

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    1. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    2. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    3. Roger Koenker, 2000. "Inference on the Quantile Regression Process," Econometric Society World Congress 2000 Contributed Papers 0886, Econometric Society.
    4. David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," Working papers 487, Massachusetts Institute of Technology (MIT), Department of Economics.
    5. Fama, Eugene F. & French, Kenneth R., 1989. "Business conditions and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 25(1), pages 23-49, November.
    6. 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.
    7. Hibbs, Douglas A., 1977. "Political Parties and Macroeconomic Policy," American Political Science Review, Cambridge University Press, vol. 71(4), pages 1467-1487, December.
    8. Alberto Alesina & Nouriel Roubini & Gerald D. Cohen, 1997. "Political Cycles and the Macroeconomy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262510944, April.
    9. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    10. Faust, Jon & Irons, John S., 1999. "Money, politics and the post-war business cycle," Journal of Monetary Economics, Elsevier, vol. 43(1), pages 61-89, February.
    11. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    12. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
    13. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    14. Alberto Alesina, 1987. "Macroeconomic Policy in a Two-Party System as a Repeated Game," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(3), pages 651-678.
    15. William D. Nordhaus, 1975. "The Political Business Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(2), pages 169-190.
    16. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    17. 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.
    18. Geske, Robert & Roll, Richard, 1983. "The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
    19. Lindbeck, Assar, 1976. "Stabilization Policy in Open Economies with Endogenous Politicians," American Economic Review, American Economic Association, vol. 66(2), pages 1-19, May.
    20. 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.
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