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Asymmetric Information and the Excess Volatility of Stock Prices

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  • Eden, Benjamin
  • Jovanovic, Boyan

Abstract

Evidence suggests the volatility of stock prices cannot be accounted for by information about future dividends. The authors argue that some of the volatility of stock prices in excess of fundamentals results from fluctuations in the amount of public information over time. Their model assumes that dividends and consumption are constant in the aggregate but that there are good firms and bad firms whose identity may be unknown to the public, as in George Akerlof's (1970) 'lemons' problem. In that case, the collective valuation of the constant dividend stream depends on the degree of informational asymmetry. Copyright 1994 by Oxford University Press.

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Bibliographic Info

Article provided by Western Economic Association International in its journal Economic Inquiry.

Volume (Year): 32 (1994)
Issue (Month): 2 (April)
Pages: 228-35

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Handle: RePEc:oup:ecinqu:v:32:y:1994:i:2:p:228-35

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Cited by:
  1. Malkiel, Burton & Campbell, John & Lettau, Martin & Xu, Yexiao, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Scholarly Articles 3128707, Harvard University Department of Economics.
  2. Campbell, John Y & Kim, Sangjoon & Lettau, Martin, 1998. "Dispersion and Volatility in Stock Returns: An Empirical Investigation," CEPR Discussion Papers 1923, C.E.P.R. Discussion Papers.
  3. S. Rao Aiyagari & Mark Gertler, 1999. ""Overreaction" of Asset Prices in General Equilibrium," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(1), pages 3-35, January.
  4. Crouzille, Celine & Lepetit, Laetitia & Tarazi, Amine, 2004. "Bank stock volatility, news and asymmetric information in banking: an empirical investigation," Journal of Multinational Financial Management, Elsevier, vol. 14(4-5), pages 443-461.
  5. Matthew Spiegel, 1996. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," Finance 9608002, EconWPA.
  6. Chow, William W. & Fung, Michael K., 2008. "Volatility of stock price as predicted by patent data: An MGARCH perspective," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 64-79, January.

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