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Asymmetric Information and the Excess Volatility of Stock Prices

Author

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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.

Suggested Citation

  • Eden, Benjamin & Jovanovic, Boyan, 1994. "Asymmetric Information and the Excess Volatility of Stock Prices," Economic Inquiry, Western Economic Association International, vol. 32(2), pages 228-235, April.
    • Handle: RePEc:oup:ecinqu:v:32:y:1994:i:2:p:228-35
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    Cited by:

    1. 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.
    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. repec:fth:starer:9825 is not listed on IDEAS
    4. Doina C. Chichernea & Alex Petkevich & Blerina Bela Zykaj, 2015. "Idiosyncratic Volatility, Institutional Ownership, and Investment Horizon," European Financial Management, European Financial Management Association, vol. 21(4), pages 613-645, September.
    5. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    6. Léopold Djoutsa Wamba & Jean‐Michel Sahut & Eric Braune & Frédéric Teulon, 2020. "Does the optimization of a company's environmental performance reduce its systematic risk? New evidence from European listed companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(4), pages 1677-1694, July.
    7. 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.
    8. Barros, Victor & Verga Matos, Pedro & Miranda Sarmento, Joaquim & Rino Vieira, Pedro, 2023. "High-tech firms: Dividend policy in a context of sustainability and technological change," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    9. Matthew Spiegel, 1996. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," Finance 9608002, University Library of Munich, Germany.
    10. Maria Minniti & Martin Andersson & Pontus Braunerhjelm & Frédéric Delmar & Annika Rickne & Karin Thorburn & Karl Wennberg & Mikael Stenkula, 2019. "Boyan Jovanovic: recipient of the 2019 Global Award for Entrepreneurship Research," Small Business Economics, Springer, vol. 53(3), pages 547-553, October.
    11. repec:fth:starer:98-25 is not listed on IDEAS
    12. Gharbi, Sami & Sahut, Jean-Michel & Teulon, Frédéric, 2014. "R&D investments and high-tech firms' stock return volatility," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 306-312.
    13. Liao, Cunfei & Ma, Tian, 2024. "From fundamental signals to stock volatility: A machine learning approach," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    14. Yasushi Hamao & Jianping Mei & Yexiao Xu, 2007. "Unique Symptoms of Japanese Stagnation: An Equity Market Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 901-923, June.
    15. Umar Butt & Trevor William Chamberlain, 2023. "Blockholdings, Dividend Policy, Stock Returns and Return Volatility: Evidence from the UAE," IJFS, MDPI, vol. 11(4), pages 1-13, October.
    16. 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.
    17. repec:cvs:starer:9825 is not listed on IDEAS
    18. Jiang, Fuwei & Ma, Tian & Zhu, Feifei, 2024. "Fundamental characteristics, machine learning, and stock price crash risk," Journal of Financial Markets, Elsevier, vol. 69(C).

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