IDEAS home Printed from https://ideas.repec.org/p/cvs/starer/88-31.html
   My bibliography  Save this paper

Asymmetric Information And The Excess Volatility Of Stock Prices

Author

Listed:
  • 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.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was bor
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Eden, Benjamin & Jovanovic, Boyan, 1988. "Asymmetric Information And The Excess Volatility Of Stock Prices," Working Papers 88-31, C.V. Starr Center for Applied Economics, New York University.
    • Handle: RePEc:cvs:starer:88-31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Liao, Cunfei & Ma, Tian, 2024. "From fundamental signals to stock volatility: A machine learning approach," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    7. repec:cvs:starer:9825 is not listed on IDEAS
    8. repec:fth:starer:9825 is not listed on IDEAS
    9. Matthew Spiegel, 1996. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," Finance 9608002, University Library of Munich, Germany.
    10. Jiang, Fuwei & Ma, Tian & Zhu, Feifei, 2024. "Fundamental characteristics, machine learning, and stock price crash risk," Journal of Financial Markets, Elsevier, vol. 69(C).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. repec:fth:starer:98-25 is not listed on IDEAS
    18. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvs:starer:88-31. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anne Stubing (email available below). General contact details of provider: https://edirc.repec.org/data/aenyuus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.