IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v17y2007i14p1113-1122.html

Reconsidering the impossibility of informationally efficient markets

Author

Listed:
  • Karl Ludwig Keiber

Abstract

This article reconsiders Grossman and Stiglitz's (1980) analysis and delivers a comparative static result which the original exhibition misses. In detail, an increase of the payoff of the risk-free security is reported to affect the informativeness of the rational expectations equilibrium adversely. Furthermore, contrary to Grossman and Stiglitz (1980) both the noisy rational expectations equilibrium and the equilibrium in the market for information are characterized explicitly as functions of the underlying economy's parameters. The incompatibility of a fully revealing rational expectations equilibrium and costly acquisition of private information is obtained by means of an argument borrowed from linear regression theory.

Suggested Citation

  • Karl Ludwig Keiber, 2007. "Reconsidering the impossibility of informationally efficient markets," Applied Financial Economics, Taylor & Francis Journals, vol. 17(14), pages 1113-1122.
    • Handle: RePEc:taf:apfiec:v:17:y:2007:i:14:p:1113-1122
    DOI: 10.1080/09603100600892871
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100600892871
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603100600892871?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    2. Laura E. Kodres & Matthew Pritsker, 2002. "A Rational Expectations Model of Financial Contagion," Journal of Finance, American Finance Association, vol. 57(2), pages 769-799, April.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    4. Lintner, John, 1969. "The Aggregation of Investor's Diverse Judgments and Preferences in Purely Competitive Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 4(4), pages 347-400, December.
    5. Michel Habib & Narayan Naik, 1996. "Models of information aggregation in financial markets: a review," Applied Mathematical Finance, Taylor & Francis Journals, vol. 3(2), pages 159-166.
    6. Toft, Klaus Bjerre, 1996. "On the Mean-Variance Tradeoff in Option Replication with Transactions Costs," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(2), pages 233-263, June.
    7. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    8. Admati, Anat R., 1991. "The informational role of prices : A review essay," Journal of Monetary Economics, Elsevier, vol. 28(2), pages 347-361, October.
    9. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Corgnet, Brice & DeSantis, Mark & Porter, David, 2021. "Information aggregation and the cognitive make-up of market participants," European Economic Review, Elsevier, vol. 133(C).
    2. Bouteska, Ahmed & Kabir Hassan, M. & Gider, Zeynullah & Bataineh, Hassan, 2024. "The role of investor sentiment and market belief in forecasting V-shaped disposition effect: Evidence from a Bayesian learning process with DSSW model," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    3. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    4. Bertrand Maillet & Thierry Michel, 2000. "Further insights on the puzzle of technical analysis profitability," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 196-224.
    5. Belhadj Hana & Ben Hamad Salah, 2026. "Overconfidence bias: explaining Bitcoin’s market anomalies," SN Business & Economics, Springer, vol. 6(1), pages 1-12, January.
    6. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    7. Mohamed Chikhi & Anne Péguin-Feissolle & Michel Terraza, 2013. "SEMIFARMA-HYGARCH Modeling of Dow Jones Return Persistence," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 249-265, February.
    8. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2019. "Information aggregation in Arrow–Debreu markets: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 625-652, September.
    9. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    10. Schwert, G. William, 1996. "Markup pricing in mergers and acquisitions," Journal of Financial Economics, Elsevier, vol. 41(2), pages 153-192, June.
    11. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
    12. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2019. "Reconsidering Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Working Papers 19-11, Chapman University, Economic Science Institute.
    13. Corsetti, Giancarlo & Lafarguette, Romain & Mehl, Arnaud, 2019. "Fast trading and the virtue of entropy: evidence from the foreign exchange market," Working Paper Series 2300, European Central Bank.
    14. Jiang, Jinjin & Li, Haiqi, 2020. "A new measure for market efficiency and its application," Finance Research Letters, Elsevier, vol. 34(C).
    15. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    16. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    17. Martin G Kocher & Konstantin E Lucks & David Schindler, 2019. "Unleashing Animal Spirits: Self-Control and Overpricing in Experimental Asset Markets," The Review of Financial Studies, Society for Financial Studies, vol. 32(6), pages 2149-2178.
    18. Marco Cipriani & Antonio Guarino & Giovanni Guazzarotti & Federico Tagliati & Sven Fischer, 2018. "Informational Contagion in the Laboratory," Review of Finance, European Finance Association, vol. 22(3), pages 877-904.
    19. Alexander Teytelboym & Shengwu Li & Scott Duke Kominers & Mohammad Akbarpour & Piotr Dworczak, 2021. "Discovering Auctions: Contributions of Paul Milgrom and Robert Wilson," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 709-750, July.
    20. Nicolae Gârleanu & Lasse Heje Pedersen, 2018. "Efficiently Inefficient Markets for Assets and Asset Management," Journal of Finance, American Finance Association, vol. 73(4), pages 1663-1712, August.

    More about this item

    Statistics

    Access and download statistics

    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:taf:apfiec:v:17:y:2007:i:14:p:1113-1122. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.