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Aggregation and dissemination of information in experimental asset markets in the presence of a manipulator

  • Vorsatz, Marc
  • Veiga, Helena

We study with the help of a laboratory experiment the conditions under which an uninformed manipulator - a robot trader that unconditionally buys several shares of a common value asset in the beginning of a trading period and unwinds this position later on - is able to induce higher asset prices. We find that the average contract price is significantly higher in the presence of the manipulator if, and only if, the asset takes the lowest possible value and insiders have perfect information about the true value of the asset. It is also evidenced that the robot trader makes trading gains; i.e., independently on whether the informed traders have perfect or partial information, it earns always more than the average trader. Finally, not only uninformed subjects suffer from the presence of the robot trader, but also some of the imperfectly informed insiders have lower payoffs once the robot trader is added as a market participant.

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Paper provided by Universidad Carlos III de Madrid. Departamento de Estadística in its series DES - Working Papers. Statistics and Econometrics. WS with number ws084110.

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Date of creation: Sep 2008
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Handle: RePEc:cte:wsrepe:ws084110
Contact details of provider: Web page: http://portal.uc3m.es/portal/page/portal/dpto_estadistica

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  1. Kumar, Praveen & Seppi, Duane J, 1992. " Futures Manipulation with "Cash Settlement."," Journal of Finance, American Finance Association, vol. 47(4), pages 1485-502, September.
  2. Wolfers, Justin & Zitzewitz, Eric, 2004. "Prediction Markets," Research Papers 1854, Stanford University, Graduate School of Business.
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  4. Mark Bagnoli & Barton L. Lipman, 1996. "Stock Price Manipulation Through Takeover Bids," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 124-147, Spring.
  5. Forsythe, Robert & Palfrey, Thomas R. & Plott, Charles R., . "Asset Valuation in an Experimental Market," Working Papers 299, California Institute of Technology, Division of the Humanities and Social Sciences.
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  7. Archishman Chakraborty & Bilge Yilmaz, . "Informed Manipulation," Rodney L. White Center for Financial Research Working Papers 07-00, Wharton School Rodney L. White Center for Financial Research.
  8. Veiga, Helena & Vorsatz, Marc, 2009. "Price manipulation in an experimental asset market," European Economic Review, Elsevier, vol. 53(3), pages 327-342, April.
  9. Colin Camerer, 1998. "Can asset markets be manipulated? A field experiment with racetrack betting," Natural Field Experiments 00222, The Field Experiments Website.
  10. Paul W. Rhode & Koleman S. Strumpf, 2004. "Historical Presidential Betting Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 127-141, Spring.
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  12. Benabou, R. & Laroque, G., 1988. "Using Privileged Information To Manipulate Markets: Insiders, Gurus And Credibility," Papers 19, Princeton, Woodrow Wilson School - Discussion Paper.
  13. Carsten Schmidt & Jan Hansen & Martin Strobel, 2004. "Manipulation in political stock markets - preconditions and evidence," Natural Field Experiments 00265, The Field Experiments Website.
  14. 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.
  15. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-29.
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  17. Robin Hanson & Ryan Oprea, 2009. "A Manipulator Can Aid Prediction Market Accuracy," Economica, London School of Economics and Political Science, vol. 76(302), pages 304-314, 04.
  18. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
  19. Itay Goldstein & Alexander Guembel, 2008. "Manipulation and the Allocational Role of Prices," Review of Economic Studies, Oxford University Press, vol. 75(1), pages 133-164.
  20. Archishman Chakraborty & Bilge Yilmaz, 2008. "Microstructure Bluffing with Nested Information," American Economic Review, American Economic Association, vol. 98(2), pages 280-84, May.
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  22. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
  23. 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.
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