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The 2000 presidential election and the information cost of sensitive versus

Author

Listed:
  • Yan He
  • Hai Lin
  • Chunchi Wu
  • Uric B. Dufrene

Abstract

We investigate the information cost of stock trading during the 2000 presidential election. We find that the uncertainty of the election induces information asymmetry of politically sensitive firms under the Bush/Gore platforms. The unusual delay in election results in a significant increase in the adverse selection component of trading cost of politically sensitive stocks. Cross-sectional variations in bid-ask spreads are significantly and positively related to changes in information cost, controlling for the effects of liquidity cost and stock characteristics. This empirical evidence is robust to different estimation methods.

Suggested Citation

  • Yan He & Hai Lin & Chunchi Wu & Uric B. Dufrene, 2013. "The 2000 presidential election and the information cost of sensitive versus," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    • Handle: RePEc:wyi:wpaper:001975
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    References listed on IDEAS

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    1. Pantzalis, Christos & Stangeland, David A. & Turtle, Harry J., 2000. "Political elections and the resolution of uncertainty: The international evidence," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1575-1604, October.
    2. Knight*, Brian, 2007. "Are policy platforms capitalized into equity prices? Evidence from the Bush/Gore 2000 Presidential Election," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 389-409, February.
    3. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    4. Christie, William G & Schultz, Paul H, 1994. "Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    5. Andrea Mattozzi, 2008. "Can we insure against political uncertainty? Evidence from the U.S. stock market," Public Choice, Springer, vol. 137(1), pages 43-55, October.
    6. H. Henry Cao & Martin D. D. Evans & Richard K. Lyons, 2017. "Inventory Information," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 9, pages 363-413, World Scientific Publishing Co. Pte. Ltd..
    7. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    8. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    9. Yan He & Chunchi Wu, 2005. "The Effects Of Decimalization On Return Volatility Components, Serial Correlation, And Trading Costs," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(1), pages 77-96, March.
    10. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    11. Ray C. Fair, 2006. "Interpreting the Predictive Uncertainty of Presidential Elections," Levine's Bibliography 321307000000000427, UCLA Department of Economics.
    12. Gebhardt, William R. & Hvidkjaer, Soeren & Swaminathan, Bhaskaran, 2005. "The cross-section of expected corporate bond returns: Betas or characteristics?," Journal of Financial Economics, Elsevier, vol. 75(1), pages 85-114, January.
    13. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    14. Pedro Santa‐Clara & Rossen Valkanov, 2003. "The Presidential Puzzle: Political Cycles and the Stock Market," Journal of Finance, American Finance Association, vol. 58(5), pages 1841-1872, October.
    15. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, June.
    16. Litzenberger, Robert H. & Ramaswamy, Krishna, 1979. "The effect of personal taxes and dividends on capital asset prices : Theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 7(2), pages 163-195, June.
    17. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A Comparison of Trade Execution Costs for NYSE and NASDAQ-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(3), pages 287-310, September.
    18. Gibson, Scott & Singh, Rajdeep & Yerramilli, Vijay, 2003. "The effect of decimalization on the components of the bid-ask spread," Journal of Financial Intermediation, Elsevier, vol. 12(2), pages 121-148, April.
    19. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1998. "Is There Private Information in the FX Market? The Tokyo Experiment," Journal of Finance, American Finance Association, vol. 53(3), pages 1111-1130, June.
    20. Michael W. Brandt & Kenneth A. Kavajecz, 2004. "Price Discovery in the U.S. Treasury Market: The Impact of Orderflow and Liquidity on the Yield Curve," Journal of Finance, American Finance Association, vol. 59(6), pages 2623-2654, December.
    21. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    22. Krinsky, Itzhak & Lee, Jason, 1996. "Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    23. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    24. 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.
    25. Stoll, Hans R, 1989. " Inferring the Components of the Bid-Ask Spread: Theory and Empirical Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 115-134, March.
    26. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    27. James P. Weston, 2000. "Competition on the Nasdaq and the Impact of Recent Market Reforms," Journal of Finance, American Finance Association, vol. 55(6), pages 2565-2598, December.
    28. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    29. Bessembinder, Hendrik, 2003. "Trade Execution Costs and Market Quality after Decimalization," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(4), pages 747-777, December.
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    More about this item

    Keywords

    Presidential election; information asymmetry; transaction costs; bid-ask spreads; adverse selection cost;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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    This paper has been announced in the following NEP Reports:

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