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Effect of uncertainty about others’ rationality in experimental asset markets

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We investigate the extent to which price deviations from fundamental values in an experimental asset market are due to the uncertainty of subjects regarding others’ rationality. We do so by comparing the price forecasts submitted by subjects in two market environments: (a) all six traders are human subjects (6H), and (b) one human subject interacts with five profit-maximizing computer traders who assume all the traders are also maximizing profit (1H5C). The subjects are told explicitly about the behavioral assumption of the computer traders (in both 6H and 1H5C) as well as which environment they are in. Results from our experiments show that there is no significant difference between the distributions of the initial deviations of the forecast prices from the fundamental values in the two markets. However, as subjects learn by observing the realized prices, the magnitude of deviations becomes significantly smaller in 1H5C than in 6H markets. We also conduct additional experiments where subjects who have experienced the 1H5C market interact with five inexperienced subjects. The price forecasts initially submitted by the experienced subjects follow the fundamental value despite the fact that the subjects are explicitly told that the five other traders in the market are inexperienced subjects. These findings do not support the hypothesis that uncertainty about others’ rationality plays a major role in causing substantial deviation of forecast prices from the fundamental values in these asset market experiments.

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  • Eizo Akiyama & Nobuyuki Hanaki & Ryuchiro Ishikawa, 2012. "Effect of uncertainty about others’ rationality in experimental asset markets," AMSE Working Papers 1234, Aix-Marseille School of Economics, France.
  • Handle: RePEc:aim:wpaimx:1234
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    Cited by:

    1. Akiyama, Eizo & Hanaki, Nobuyuki & Ishikawa, Ryuichiro, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 1-18.
    2. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.
    3. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2017. "It is Not Just Confusion! Strategic Uncertainty in An Experimental Asset Market," Economic Journal, Royal Economic Society, vol. 127(605), pages 563-580, October.
    4. repec:pit:wpaper:518 is not listed on IDEAS
    5. Cooper, Kristen B. & Schneider, Henry S. & Waldman, Michael, 2017. "Limited rationality and the strategic environment: Further theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 106(C), pages 188-208.
    6. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    7. Nobuyuki Hanaki & Nicolas Jacquemet & Stéphane Luchini & Adam Zylbersztejn, 2013. "Bounded Rationality and Strategic Uncertainty in a Simple Dominance Solvable Game," Economics Discussion / Working Papers 13-14, The University of Western Australia, Department of Economics.

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    More about this item

    Keywords

    Rationality; Common knowledge; Experiment; Asset Markets; Computer Traders.;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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