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Simple Agents, Intelligent Markets

Author

Listed:
  • Karim Jamal

    (University of Alberta)

  • Michael Maier

    (University of Alberta)

  • Shyam Sunder

    (Yale University)

Abstract

Attainment of rational expectations equilibria in asset markets calls for the price system to disseminate agents’ private information to others. Markets populated by human agents are known to be capable of converging to rational expectations equilibria. This paper reports comparable market outcomes when human agents are replaced by boundedly-rational algorithmic agents who use a simple means-end heuristic. These algorithmic agents lack the capability to optimize; yet outcomes of markets populated by them converge near the equilibrium derived from optimization assumptions. These findings point to market structure (rather than cognition or optimization) being an important determinant of efficient aggregate level outcomes.

Suggested Citation

  • Karim Jamal & Michael Maier & Shyam Sunder, 2017. "Simple Agents, Intelligent Markets," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 653-675, April.
  • Handle: RePEc:kap:compec:v:49:y:2017:i:4:d:10.1007_s10614-016-9582-3
    DOI: 10.1007/s10614-016-9582-3
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    References listed on IDEAS

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    1. Martin Angerer & Juergen Huber & Martin Shubik & Shyam Sunder, 2010. "An economy with personal currency: theory and experimental evidence," Annals of Finance, Springer, vol. 6(4), pages 475-509, October.
    2. 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.
    3. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    4. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    5. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    6. Vernon L. Smith, 1962. "An Experimental Study of Competitive Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 70, pages 111-111.
    7. Smith,Vernon L., 2009. "Rationality in Economics," Cambridge Books, Cambridge University Press, number 9780521133388.
    8. Forsythe, Robert & Palfrey, Thomas R & Plott, Charles R, 1982. "Asset Valuation in an Experimental Market," Econometrica, Econometric Society, vol. 50(3), pages 537-567, May.
    9. 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.
    10. Dhananjay K. Gode & Shyam Sunder, 1997. "What Makes Markets Allocationally Efficient?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 603-630.
    11. Thaler, Richard H, 1986. "The Psychology and Economics Conference Handbook: Comments," The Journal of Business, University of Chicago Press, vol. 59(4), pages 279-284, October.
    12. John A. Carlson & Terrence B. O'Keefe, 1969. "Buffer Stocks and Reaction Coefficients: An Experiment with Decision Making under Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(4), pages 467-484.
    13. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2010. "Three minimal market institutions with human and algorithmic agents: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 70(2), pages 403-424, November.
    14. Tversky, Amos & Kahneman, Daniel, 1986. "Rational Choice and the Framing of Decisions," The Journal of Business, University of Chicago Press, vol. 59(4), pages 251-278, October.
    15. Jamal, Karim & Sunder, Shyam, 1996. "Bayesian equilibrium in double auctions populated by biased heuristic traders," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 273-291, November.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Nobody knows anything
      by chris in Stumbling and Mumbling on 2016-05-03 18:04:59

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    Cited by:

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    More about this item

    Keywords

    Rational expectations; Bounded rationality; Means-end heuristic; Information dissemination; Minimally intelligent agents;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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