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Does Greater Firm-Specific Return Variation Mean More or Less Informed Stock Pricing?

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Author Info
Artyom Durnev
Randall Morck
Bernard Yeung
Paul Zarowin

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Abstract

Roll [1988] observes low "R"-super-2 statistics for common asset pricing models due to vigorous firm-specific return variation not associated with public information. He concludes that this implies "either private information or else occasional frenzy unrelated to concrete information"[p. 56]. We show that firms and industries with lower market model "R"-super-2 statistics exhibit higher association between current returns and future earnings, indicating more information about future earnings in current stock returns. This supports Roll's first interpretation: higher firm-specific return variation as a fraction of total variation signals more information-laden stock prices and, therefore, more efficient stock markets. Copyright 2003 Institute of Professional Accounting, University of Chicago.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1046/j.1475-679X.2003.00124.x
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Publisher Info
Article provided by Blackwell Publishing in its journal Journal of Accounting Research.

Volume (Year): 41 (2003)
Issue (Month): 5 (December)
Pages: 797-836
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Handle: RePEc:bla:joares:v:41:y:2003:i:5:p:797-836

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  1. Md. Arifur Rahman, 2007. "The Information Content of Cross-sectional Volatility for Future Market Volatility: Evidence from Australian Equity Returns," Frontiers in Finance and Economics, Lille Graduate School of Management, vol. 4(1), pages 91-124, June. [Downloadable!]
  2. Artyom Durnev & Randall Morck & Bernard Yeung, 2001. "Capital Markets and Capital Allocation: Implications for Economies in Transition," William Davidson Institute Working Papers Series 417, William Davidson Institute at the University of Michigan Stephen M. Ross Business School. [Downloadable!]
    Other versions:
  3. Kan Li & Randall Morck & Fan Yang & Bernard Yeung, 2003. "Firm-Specific Variation and Openness in Emerging Markets," William Davidson Institute Working Papers Series 2003-623, William Davidson Institute at the University of Michigan Stephen M. Ross Business School. [Downloadable!]
    Other versions:
  4. Sónia Sousa & Ana Serra, 2008. "What drives idiosyncratic volatility over time?," Portuguese Economic Journal, Springer, vol. 7(3), pages 155-181, December. [Downloadable!] (restricted)
  5. Laura Veldkamp & Justin Wolfers, 2006. "Aggregate Shocks or Aggregate Information? Costly Information and Business Cycle Comovement," Working Papers 06-12, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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  6. Zhi Da & Pengjie Gao & Ravi Jagannathan, 2007. "When Does a Mutual Fund's Trade Reveal its Skill?," NBER Working Papers 13625, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  7. Karolyi, G. Andrew & Lee, Kuan Hui & van Dijk, Mathijs A., 2007. "Common Patterns in Commonality in Returns, Liquidity, and Turnover around the World," Working Paper Series 2007-16, Ohio State University, Charles A. Dice Center for Research in Financial Economics. [Downloadable!]
  8. Hou, Kewei & Peng, Lin & Xiong, Wei, 2006. "R2 and Price Inefficiency," Working Paper Series 2006-23, Ohio State University, Charles A. Dice Center for Research in Financial Economics. [Downloadable!]
  9. Foucault, Thierry & Themar, David & Sraer, David, 2008. "Individual investors and volatility," Les Cahiers de Recherche 899, HEC Paris. [Downloadable!]
    Other versions:
  10. Yaw Mensah & Robert Werner, 2008. "The capital market implications of the frequency of interim financial reporting: an international analysis," Review of Quantitative Finance and Accounting, Springer, vol. 31(1), pages 71-104, July. [Downloadable!] (restricted)
  11. Ferreira, Daniel & Ferreira, Miguel A. & Raposo, Clara C., 2008. "Board Structure and Price Informativeness," CEI Working Paper Series 2008-4, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
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