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When Do Security Markets Aggregate Dispersed Information?

Author

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  • Brice Corgnet

    (EM - EMLyon Business School, GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - EM - EMLyon Business School - CNRS - Centre National de la Recherche Scientifique)

  • Cary Deck

    (UA - University of Alabama [Tuscaloosa], Chapman University)

  • Mark Desantis

    (Chapman University)

  • Kyle Hampton

    (Chapman University)

  • Erik O. Kimbrough

    (Chapman University)

Abstract

We attempt to replicate a seminal paper that offered support for the rational expectations hypothesis and reported evidence that markets with certain features aggregate dispersed information. The original results are based on only a few observations, and our attempt to replicate the key findings with an appropriately powered experiment largely fails. The resulting poststudy probability that market performance is better described by rational expectations than the prior information (Walrasian) model under the conditions specified in the original paper is very low. As a result of our failure to replicate, we investigate an alternate set of market features that combines aspects of the original experimental design. For these markets, which include both contingent claims and homogeneous dividend payments (as in many prediction markets), we do find robust evidence of information aggregation in support of the rational expectations model. In total, our results indicate that information aggregation in asset markets is fragile and should only be expected in limited circumstances.

Suggested Citation

  • Brice Corgnet & Cary Deck & Mark Desantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Post-Print hal-04325683, HAL.
  • Handle: RePEc:hal:journl:hal-04325683
    DOI: 10.1287/mnsc.2022.4463
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    Cited by:

    1. Deck, Cary & Jun, Tae In & Razzolini, Laura & Reid, Tavoy, 2024. "Information aggregation with heterogeneous traders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    2. Peeters, Ronald & Veiga, Helena & Vorsatz, Marc, 2025. "An experimental analysis of contagion in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    3. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2025. "Centralized vs Decentralized Markets: The Role of Connectivity," Working Papers 2025: 13, Department of Economics, University of Venice "Ca' Foscari".
    4. Guler, Bulent & Lugovskyy, Volodymyr & Puzzello, Daniela & Tucker, Steven, 2025. "Trading institutions in experimental asset markets: Theory and Evidence," European Economic Review, Elsevier, vol. 180(C).
    5. Tucker, Steven & Xu, Yilong, 2024. "Nonspeculative bubbles revisited," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    6. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2024. "Centralized vs Decentralized Markets: The Role of Connectivity," Working Papers 1420, Barcelona School of Economics.
    7. Bossaerts, Peter & Bowman, Elizabeth & Fattinger, Felix & Huang, Harvey & Lee, Michelle & Murawski, Carsten & Suthakar, Anirudh & Tang, Shireen & Yadav, Nitin, 2024. "Resource allocation, computational complexity, and market design," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    8. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    9. Davis, Douglas & Korenok, Oleg & Lightle, John, 2025. "The effects of public disclosures and information acquisition on price informativeness in a multi-attribute asset market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 47(C).

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