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The Persistent Presidential Dummy

John G. Powell
Massey University - Department of Finance Banking and Property

Jing Shi
Australian National University - School of Finance and Applied Statistics

Tom Smith
Australian National University - Faculty of Economics & Commerce

Robert E. Whaley
Vanderbilt University - Owen Graduate School of Management


June 15, 2006


Abstract:     
Whether Republican or Democratic presidents are better for the the stock market has been closely scrutinized for years. Although much of it is discussed only in casual terms, a recent academic study by Santa Clara and Valkanov (2003) documenting that the market does significantly better under Democratic regimes was widely quoted in the financial press. Indeed, a link to the study's results was posted to the Kerry/Edwards website. This paper shows that the statistical tests applied by the authors of the study were wrong, and that, once corrected, the difference in stock market returns under different presidential regimes is not meaningful. The lessons of the paper extend well beyond the presidential effect and emphasize the importance of proper research design in carrying out statistical investigations.

Keywords: spurious regression, persistence, data mining, dummy variable

JEL Classifications: G12, C15, C22

Working Paper Series

Date posted: June 17, 2006 ; Last revised: February 28, 2007

Suggested Citation

Powell, John G., Shi, Jing, Smith, Tom M. and Whaley, Robert E., The Persistent Presidential Dummy (June 15, 2006). Available at SSRN: http://ssrn.com/abstract=909195


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Contact Information

Robert E. Whaley (Contact Author)
Vanderbilt University - Owen Graduate School of Management ( email )
401 21st Avenue South
Nashville, TN 37203
United States
615-343-7747 (Phone)
615-376-8879 (Fax)
John G. Powell
Massey University - Department of Finance Banking and Property ( email )
Palmerston North New Zealand
Jing Shi
Australian National University - School of Finance and Applied Statistics ( email )
Canberra ACT 0200, Canberra 0200
Australia
Tom M. Smith
Australian National University - Faculty of Economics & Commerce ( email )
School of Economics
Canberra ACT 0200 2601
Australia
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