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Diversity in Cognitive Ability Enlarges Mispricing in Experimental Asset Markets

Author

Listed:
  • Nobuyuki Hanaki

    (Université Côte d'Azur
    GREDEG-CNRS
    IUF)

  • Eizo Akiyama

    (University of Tsukuba, Japan)

  • Yukihiko Funaki

    (Waseda University, Japan)

  • Ryuichiro Ishikawa

    (University of Tsukuba, Japan)

Abstract

Does diversity of cognitive ability among market participants increase mispricing? Does common knowledge of heterogeneity in relation to cognitive ability of market participants further increase mispricing? We investigated these questions by measuring subjects' cognitive ability and categorizing those above median ability as type `H' and those below median ability as type `L'. We then constructed three market types, each containing six traders: 6H, 6L, and 3H3L. Subjects were informed of their own cognitive type and, depending on the treatment, that of the others in their market. We found that heterogeneous markets (3H3L) generated significantly larger mispricing than homogeneous markets (6H or 6L) regardless of whether subjects were informed about the cognitive type of others in their market. Thus, diversity of cognitive ability among market participants increased mispricing. However, common knowledge of heterogeneity or homogeneity in the market did not have a signi cant additional effect.

Suggested Citation

  • Nobuyuki Hanaki & Eizo Akiyama & Yukihiko Funaki & Ryuichiro Ishikawa, 2017. "Diversity in Cognitive Ability Enlarges Mispricing in Experimental Asset Markets," GREDEG Working Papers 2017-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2017-08
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    1. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    2. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    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. 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.
    5. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    6. Carpenter, Jeffrey & Graham, Michael & Wolf, Jesse, 2013. "Cognitive ability and strategic sophistication," Games and Economic Behavior, Elsevier, vol. 80(C), pages 115-130.
    7. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    8. David Gill & Victoria Prowse, 2016. "Cognitive Ability, Character Skills, and Learning to Play Equilibrium: A Level-k Analysis," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1619-1676.
    9. Cheung, Stephen L. & Hedegaard, Morten & Palan, Stefan, 2014. "To see is to believe: Common expectations in experimental asset markets," European Economic Review, Elsevier, vol. 66(C), pages 84-96.
    10. Eugenio Proto & Aldo Rustichini & Andis Sofianos, 2019. "Intelligence, Personality, and Gains from Cooperation in Repeated Interactions," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1351-1390.
    11. Cueva, Carlos & Rustichini, Aldo, 2015. "Is financial instability male-driven? Gender and cognitive skills in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 330-344.
    12. Ernan Haruvy & Yaron Lahav & Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review, American Economic Association, vol. 97(5), pages 1901-1920, December.
    13. Breaban, A.G. & Noussair, C.N., 2014. "Fundamental Value Trajectories and Trader Characteristics in an Asset Market Experiment," Other publications TiSEM 3103cf69-bc46-42bf-a9a5-e, Tilburg University, School of Economics and Management.
    14. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    15. Gneezy, Uri & Rustichini, Aldo & Vostroknutov, Alexander, 2010. "Experience and insight in the Race game," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 144-155, August.
    16. Brice Corgnet & Roberto Hernán González & Praveen Kujal & David Porter, 2013. "The Effect of Earned vs. House Money on Price Bubble Formation in Experimental Asset Markets," Working Papers 13-04, Chapman University, Economic Science Institute.
    17. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2010. "Bubble measures in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 284-298, September.
    18. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    19. Andreas Hefti & Steve Heinke & Frédéric Schneider, 2016. "Mental capabilities, trading styles, and asset market bubbles: theory and experiment," ECON - Working Papers 234, Department of Economics - University of Zurich.
    20. Breaban, Adriana & Noussair, Charles N., 2015. "Trader characteristics and fundamental value trajectories in an asset market experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 8(C), pages 1-17.
    21. Powell, Owen & Shestakova, Natalia, 2016. "Experimental asset markets: A survey of recent developments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 12(C), pages 14-22.
    22. Dufwenberg, Martin & Sundaram, Ramya & Butler, David J., 2010. "Epiphany in the Game of 21," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 132-143, August.
    23. Porter, David P & Smith, Vernon L, 1995. "Futures Contracting and Dividend Uncertainty in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 68(4), pages 509-541, October.
    24. Van Boening, Mark V. & Williams, Arlington W. & LaMaster, Shawn, 1993. "Price bubbles and crashes in experimental call markets," Economics Letters, Elsevier, vol. 41(2), pages 179-185.
    25. Franklin Allen & Stephen Morris & Hyun Song Shin, 2006. "Beauty Contests and Iterated Expectations in Asset Markets," Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 719-752.
    26. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
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    Cited by:

    1. Hubert J. Kiss & Laszlo A. Koczy & Agnes Pinter & Balazs R. Sziklai, 2019. "Does risk sorting explain bubbles?," CERS-IE WORKING PAPERS 1905, Institute of Economics, Centre for Economic and Regional Studies.
    2. Tomoe Hoshihata & Ryuichiro Ishikawa & Nobuyuki Hanaki & Eizo Akiyama, 2017. "Flat Bubbles in Long-Horizon Experiments: Results from two Market Conditions," GREDEG Working Papers 2017-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    4. Andreas Hefti & Steve Heinke & Frédéric Schneider, 2016. "Mental capabilities, trading styles, and asset market bubbles: theory and experiment," ECON - Working Papers 234, Department of Economics - University of Zurich.
    5. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Behavioral uncertainty and the dynamics of traders’ confidence in their price forecasts," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 121-136.
    6. Butler, David & Cheung, Stephen L., 2018. "Mind, Body, Bubble! Psychological and Biophysical Dimensions of Behavior in Experimental Asset Markets," IZA Discussion Papers 11563, Institute of Labor Economics (IZA).
    7. David L. Dickinson & Ananish Chaudhuri & Ryan Greenaway-McGrevy, 2020. "Trading while sleepy? Circadian mismatch and mispricing in a global experimental asset market," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 526-553, June.
    8. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.

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    More about this item

    Keywords

    Cognitive ability; Heterogeneity; Mispricing; Experimental asset markets;
    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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