[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/kap/expeco/v14y2011i2p223-240.html
   My bibliography  Save this article

Experimental asset markets with endogenous choice of costly asymmetric information

Author

Listed:
  • Jürgen Huber
  • Martin Angerer
  • Michael Kirchler
Abstract
No abstract is available for this item.

Suggested Citation

  • Jürgen Huber & Martin Angerer & Michael Kirchler, 2011. "Experimental asset markets with endogenous choice of costly asymmetric information," Experimental Economics, Springer;Economic Science Association, vol. 14(2), pages 223-240, May.
  • Handle: RePEc:kap:expeco:v:14:y:2011:i:2:p:223-240
    DOI: 10.1007/s10683-010-9264-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10683-010-9264-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10683-010-9264-2?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Sunder, Shyam, 1992. "Market for Information: Experimental Evidence," Econometrica, Econometric Society, vol. 60(3), pages 667-695, May.
    2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    3. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    4. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    5. Kirchler, Michael, 2010. "Partial knowledge is a dangerous thing - On the value of asymmetric fundamental information in asset markets," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 643-658, August.
    6. Copeland, Thomas E & Friedman, Daniel, 1992. "The Market Value of Information: Some Experimental Results," The Journal of Business, University of Chicago Press, vol. 65(2), pages 241-266, April.
    7. 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.
    8. Rothkopf, Michael H & Teisberg, Thomas J & Kahn, Edward P, 1990. "Why Are Vickrey Auctions Rare?," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 94-109, February.
    9. Hellwig, Martin F., 1982. "Rational expectations equilibrium with conditioning on past prices: A mean-variance example," Journal of Economic Theory, Elsevier, vol. 26(2), pages 279-312, April.
    10. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2010. "Bubble measures in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 284-298, September.
    11. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    12. Huber, Jurgen, 2007. "`J'-shaped returns to timing advantage in access to information - Experimental evidence and a tentative explanation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2536-2572, August.
    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. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2021. "Overweighting of public information in financial markets: A lesson from the lab," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    3. Page, Lionel & Siemroth, Christoph, 2017. "An experimental analysis of information acquisition in prediction markets," Games and Economic Behavior, Elsevier, vol. 101(C), pages 354-378.
    4. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    5. repec:grz:wpsses:2021-04 is not listed on IDEAS
    6. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    7. Jürgen Huber & Matthias Sutter & Michael Kirchler, 2004. "Is more information always better? Experimental financial markets with asymmetric information," Papers on Strategic Interaction 2005-13, Max Planck Institute of Economics, Strategic Interaction Group.
    8. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    9. Kirchler, Michael, 2009. "Underreaction to fundamental information and asymmetry in mispricing between bullish and bearish markets. An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 491-506, February.
    10. Ruiz-Buforn, Alba & Alfarano, Simone & Morone, Andrea, 2019. "Welfare effects of public information in a laboratory financial market," MPRA Paper 95424, University Library of Munich, Germany.
    11. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    12. 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.
    13. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.
    14. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    15. Huber, Jürgen & Kirchler, Michael & Stefan, Matthias, 2014. "Experimental evidence on varying uncertainty and skewness in laboratory double-auction markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 798-809.
    16. Honghai Yu & Xianfeng Hao & Liangyu Wu & Yuqi Zhao & Yudong Wang, 2023. "Eye in outer space: satellite imageries of container ports can predict world stock returns," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    17. Peter Bossaerts, 2001. "Experiments with Financial Markets: Implications for Asset Pricing Theory," The American Economist, Sage Publications, vol. 45(1), pages 17-32, March.
    18. Mosenhauer, Moritz, 2020. "Information Management against Excessive Stock Trading: More or Less? Or Both?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224549, Verein für Socialpolitik / German Economic Association.
    19. Matthias Sutter & Jürgen Huber & Michael Kirchler, 2012. "Bubbles and Information: An Experiment," Management Science, INFORMS, vol. 58(2), pages 384-393, February.
    20. Stéphane Robin & Kateřina Strážnická & Marie Claire Villeval, 2021. "Bubbles and incentives: an experiment on asset markets," Economic and Political Studies, Taylor & Francis Journals, vol. 9(1), pages 68-89, January.
    21. Utz Weitzel & Christoph Huber & Jürgen Huber & Michael Kirchler & Florian Lindner & Julia Rose & Lauren Cohen, 2020. "Bubbles and Financial Professionals," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2659-2696.

    More about this item

    Keywords

    Information costs; Asset markets; Experiment; Value of information; Asymmetric information; C91; D82; G1;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G1 - Financial Economics - - General Financial Markets

    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:kap:expeco:v:14:y:2011:i:2:p:223-240. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.