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Are stock prices in the US nonstationary? Evidence from contemporary unit root tests


  • Vasudeva Murthy
  • Kenneth Washer
  • John Wingender


This article extends the empirical literature on the efficiency of stock markets in the US by applying a battery of unit root tests to empirically ascertain whether stock prices are mean reverting. This article, unlike previous studies, employs a disaggregated approach using the daily closing values of the Dow Jones industrial average, NASDAQ composite and S&P 500 index covering the period 5 February 1971 to 31 December 2009 to investigate the integration properties of the US stock market. The empirical findings reveal that the three major stock price series are nonstationary, indicating that they do not follow a trend path. The primary implication is that trading strategies that simply rely on mean reversion of stock prices are valueless.

Suggested Citation

  • Vasudeva Murthy & Kenneth Washer & John Wingender, 2011. "Are stock prices in the US nonstationary? Evidence from contemporary unit root tests," Applied Financial Economics, Taylor & Francis Journals, vol. 21(22), pages 1703-1709.
  • Handle: RePEc:taf:apfiec:v:21:y:2011:i:22:p:1703-1709
    DOI: 10.1080/09603107.2011.591731

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    Cited by:

    1. Khaled, Mohammed S & Keef, Stephen P, 2011. "Tests for weak form market efficiency in stock prices: Monte Carlo evidence," Working Paper Series 1993, Victoria University of Wellington, School of Economics and Finance.
    2. Pär Österholm, 2016. "The Long-run Relationship Between Stock Prices and GDP in Sweden," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 45(2), pages 283-297, July.

    More about this item


    random walk; efficient market; unit root;


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