IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Informational Price Cascades and Non-aggregation of Asymmetric Information in Experimental Asset Markets

  • Jason Shachat

    ()

    (Wang Yanan Institute for Studies in Economics, and MOE Key Laboratory in Econometrics, Xiamen University)

  • Anand Srinivasan

    ()

    (Wang Yanan Institute for Studies in Economics, and MOE Key Laboratory in Econometrics, Xiamen University)

We report on experimental markets for a contingent claim asset that eight subjects traded for nine periods before the state was revealed. There is an informative binary signal that arrives after each of the first eight trading rounds. In our baseline treatment the realization of the signal is public information, and in another treatment, market participants are randomly sequenced and receive the signal as private information. In the latter case, we observe zero information aggregation and prices lock in on home grown norms, which we call informational price cascades. We test the fragility of the price cascades in two further treatments. First, we break the monopoly on each signal by revealing it to two subjects, and then we increase that number to four. It is only when we inform four participants, or one-half of the market, that cascades fail to form and information starts to aggregate in the market.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://feel.xmu.edu.cn/RePEc/wpaper/Informational_Price_Cascades_and_Non-aggregation_of_Asymmetric_Information_in_Experimental_Asset_Markets.pdf
File Function: 2011
Download Restriction: no

Paper provided by Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory in its series Working Papers with number 1102.

as
in new window

Length: 62 pages
Date of creation: 14 Apr 2011
Date of revision: 14 Apr 2011
Handle: RePEc:fee:wpaper:1102
Contact details of provider: Phone: 86-592-2180855
Fax: 86-592-2187708
Web page: http://feel.xmu.edu.cn
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Daniel Sgroi, 2000. "The Right Choice at the Right Time: A Herding Experiment in Endogenous Time," Economics Series Working Papers 2000-W15, University of Oxford, Department of Economics.
  2. Shinichi Hirota & Shyam Sunder, 2005. "Price Bubbles sans Dividend Anchors: Evidence from Laboratory Stock Markets," ISER Discussion Paper 0634, Institute of Social and Economic Research, Osaka University.
  3. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.
  4. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
  5. John D. Hey & Andrea Morone, 2004. "Do Markets Drive Out Lemmings-or Vice Versa?," Economica, London School of Economics and Political Science, vol. 71(284), pages 637-659, November.
  6. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
  7. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
  8. Roider, Andreas & Mathias Drehmann & Jorg Oechssler, 2003. "Herding and Contrarian Behavior in Financial Markets - An Internet Experiment," Royal Economic Society Annual Conference 2003 177, Royal Economic Society.
  9. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 2010. "A theory of Fads, Fashion, Custom and cultural change as informational Cascades," Levine's Working Paper Archive 1193, David K. Levine.
  10. Dorothea Kübler & Georg Weizs�cker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," Review of Economic Studies, Oxford University Press, vol. 71(2), pages 425-441.
  11. Hirshleifer, David, 2001. "Investor Psychology and Asset Pricing," MPRA Paper 5300, University Library of Munich, Germany.
  12. Copeland, Thomas E & Friedman, Daniel, 1987. " The Effect of Sequential Information Arrival on Asset Prices: An Experimental Study," Journal of Finance, American Finance Association, vol. 42(3), pages 763-97, July.
  13. Jacob K. Goeree & Thomas R. Palfrey & Brian W. Rogers & Richard D. McKelvey, 2007. "Self-Correcting Information Cascades," Review of Economic Studies, Oxford University Press, vol. 74(3), pages 733-762.
  14. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-55, December.
  15. James C. Cox & J. Todd Swarthout, . "EconPort: Creating and Maintaining a Knowledge Commons," Experimental Economics Center Working Paper Series 2006-06, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  16. Copeland, Thomas E & Friedman, Daniel, 1991. " Partial Revelation of Information in Experimental Asset Markets," Journal of Finance, American Finance Association, vol. 46(1), pages 265-95, March.
  17. Camerer, Colin F, 1987. "Do Biases in Probability Judgment Matter in Markets? Experimental Evidence," American Economic Review, American Economic Association, vol. 77(5), pages 981-97, December.
  18. Mark van Boening & Vernon L. Smith & Charissa P. Wellford, 2000. "Dividend timing and behavior in laboratory asset markets," Economic Theory, Springer, vol. 16(3), pages 567-583.
  19. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
  20. Alevy, Jonathan E. & Haigh, Michael S. & List, John A., 2003. "Information Cascades: Evidence From A Field Experiment With Financial Market Professionals," Working Papers 28608, University of Maryland, Department of Agricultural and Resource Economics.
  21. Camerer, Colin & Weigelt, Keith, 1991. "Information Mirages in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 64(4), pages 463-93, October.
  22. Antoine J. Bruguier & Steven R. Quartz & Peter Bossaerts, 2010. "Exploring the Nature of "Trader Intuition"," Journal of Finance, American Finance Association, vol. 65(5), pages 1703-1723, October.
  23. Grether, David M, 1980. "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," The Quarterly Journal of Economics, MIT Press, vol. 95(3), pages 537-57, November.
  24. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
  25. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-47, March.
  26. Tirole, Jean, 1982. "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society, vol. 50(5), pages 1163-81, September.
  27. Xavier Vives, 1992. "The Speed of Information Revelation in a Financial Market Mechanism," CEPR Financial Markets Paper 0016, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 77 Bastwick Street, London EC1V 3PZ..
  28. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(04), pages 499-518, December.
  29. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
  30. Kyle, Albert S, 1989. "Informed Speculation with Imperfect Competition," Review of Economic Studies, Wiley Blackwell, vol. 56(3), pages 317-55, July.
  31. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-48, September.
  32. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
  33. Gunduz Caginalp & David Porter & Li Hao, 2011. "Asset Market Reactions to News: An Experimental Study," Working Papers 11-15, Chapman University, Economic Science Institute.
  34. Radner, Roy, 1979. "Rational Expectations Equilibrium: Generic Existence and the Information Revealed by Prices," Econometrica, Econometric Society, vol. 47(3), pages 655-78, May.
  35. Smith, Vernon L., 2010. "Theory and experiment: What are the questions?," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 3-15, January.
  36. Porter, David & Smith, Vernon L., 2008. "Price Bubbles," Handbook of Experimental Economics Results, Elsevier.
  37. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
  38. Dorothea K¸bler & Georg Weizs”cker, 2004. "Limited Depth of Reasoning and Failure of Cascade Formation in the Laboratory," Review of Economic Studies, Wiley Blackwell, vol. 71(2), pages 425-441, 04.
  39. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-98, August.
  40. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  41. Foster, F Douglas & Viswanathan, S, 1996. " Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-78, September.
  42. Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
  43. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fee:wpaper:1102. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ashford)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.