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Information Aggregation in Double Auctions: Rational Expectations and the Winner's Curse

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  • Serena Guarnaschelli

    (California Institute of Technology)

  • Anthony M. Kwasnica

    (Penn State University)

  • Charles R. Plott

    (California Institute of Technology)

Abstract

This paper inquires about the ability of double auction institutions to aggregate information in the context of a “common value” information structure that is known to produce the winner's curse in sealed bid environments. While many fundamental features of the economic trading mechanism are different from those studied in the context of sealed bids, the pattern of information distributed to the population of traders is the same. This gives us an opportunity to determine if the behaviors reported in sealed bid environments can be detected in the more active market environment. As such, the experiments are also a test of the robustness of earlier experiments that demonstrate that in economies with homogeneous preferences single compound securities organized by double auctions are able to aggregate information. The basic result is that a severe winner's curse is not observed. The irrationality observed in sealed bids does not extend itself to the double auction environment. Information aggregation is observed and the rational expectations model receives support.

Suggested Citation

  • Serena Guarnaschelli & Anthony M. Kwasnica & Charles R. Plott, 2003. "Information Aggregation in Double Auctions: Rational Expectations and the Winner's Curse," Information Systems Frontiers, Springer, vol. 5(1), pages 63-77, January.
  • Handle: RePEc:spr:infosf:v:5:y:2003:i:1:d:10.1023_a:1022045923185
    DOI: 10.1023/A:1022045923185
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    References listed on IDEAS

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    1. 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 663-698, August.
    2. 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.
    3. Noussair, Charles N & Plott, Charles R & Riezman, Raymond G, 1997. "The Principles of Exchange Rate Determination in an International Financial Experiment," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 822-861, August.
    4. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    5. Lind, Barry & Plott, Charles R, 1991. "The Winner's Curse: Experiments with Buyers and with Sellers," American Economic Review, American Economic Association, vol. 81(1), pages 335-346, March.
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    Cited by:

    1. Riekhof, Hans-Christian & Riekhof, Marie-Catherine & Brinkhoff, Stefan, 2012. "Predictive Markets: Ein vielversprechender Weg zur Verbesserung der Prognosequalität im Unternehmen?," PFH Forschungspapiere/Research Papers 2012/07, PFH Private University of Applied Sciences, Göttingen.
    2. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    3. Antonio Filippin & Marco Mantovani, 2023. "Risk aversion and information aggregation in binary‐asset markets," Quantitative Economics, Econometric Society, vol. 14(2), pages 753-798, May.
    4. Antonio, Filippin & Marco, Mantovani, 2019. "Risk Aversion and Information Aggregation in Asset Markets," Working Papers 404, University of Milano-Bicocca, Department of Economics, revised Apr 2019.

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