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Asymmetric Information and the Excess Volatility of Stock Prices

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  • Eden, B.
  • Jovanovic, B.

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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Suggested Citation

  • Eden, B. & Jovanovic, B., 1992. "Asymmetric Information and the Excess Volatility of Stock Prices," Working Papers 92-18, University of Iowa, Department of Economics.
    • Handle: RePEc:uia:iowaec:92-18
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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. Liao, Cunfei & Ma, Tian, 2024. "From fundamental signals to stock volatility: A machine learning approach," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    4. repec:fth:starer:9825 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. repec:cvs:starer:9825 is not listed on IDEAS
    15. Matthew Spiegel, 1996. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," Finance 9608002, University Library of Munich, Germany.
    16. Jiang, Fuwei & Ma, Tian & Zhu, Feifei, 2024. "Fundamental characteristics, machine learning, and stock price crash risk," Journal of Financial Markets, Elsevier, vol. 69(C).
    17. 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.
    18. repec:fth:starer:98-25 is not listed on IDEAS

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