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Professional Traders as Intuitive Bayesians

Author

Listed:
  • Anderson, M.J.
  • Sunder, S.

Abstract

No abstract is available for this item.

Suggested Citation

  • Anderson, M.J. & Sunder, S., 1995. "Professional Traders as Intuitive Bayesians," GSIA Working Papers 1995-05, Carnegie Mellon University, Tepper School of Business.
  • Handle: RePEc:cmu:gsiawp:1995-05
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    Cited by:

    1. Felipe Perez-Marti, 2000. "Private Experience in Adaptive Learning Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(2), pages 283-310, April.
    2. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    3. Ackert, Lucy F. & Church, Bryan K. & Shehata, Mohamed, 1997. "Market behavior in the presence of costly, imperfect information: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 33(1), pages 61-74, May.
    4. Stephanie Wang, 2012. "Speculative Overpricing in Asset Markets with Information Flows," Working Paper 489, Department of Economics, University of Pittsburgh, revised Jan 2012.
    5. Jean Baratgin & Guy Politzer, 2006. "Is the mind Bayesian? The case for agnosticism," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 5(1), pages 1-38, June.
    6. Theo Offerman & Joep Sonnemans, 2004. "What’s Causing Overreaction? An Experimental Investigation of Recency and the Hot‐hand Effect," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(3), pages 533-554, October.
    7. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2000. "Psychological Traits and Trading Strategies," CSEF Working Papers 39, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    8. Potters, Jan & van Winden, Frans, 2000. "Professionals and students in a lobbying experiment: Professional rules of conduct and subject surrogacy," Journal of Economic Behavior & Organization, Elsevier, vol. 43(4), pages 499-522, December.
    9. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
    10. Christoph Huber & Christian König-Kersting, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck.
    11. Steven Kachelmeier & Kristy Towry, 2005. "The Limitations of Experimental Design: A Case Study Involving Monetary Incentive Effects in Laboratory Markets," Experimental Economics, Springer;Economic Science Association, vol. 8(1), pages 21-33, April.
    12. Enrique Fatas & Tibor Neugebauer & Pilar Tamborero, 2007. "How Politicians Make Decisions: A Political Choice Experiment," Journal of Economics, Springer, vol. 92(2), pages 167-196, October.
    13. Ananda Ganguly & John Kagel & Donald Moser, 2000. "Do Asset Market Prices Reflect Traders' Judgment Biases?," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 219-245, May.
    14. Siddiqi, Hammad, 2009. "Is the lure of choice reflected in market prices? Experimental evidence based on the 4-door Monty Hall problem," Journal of Economic Psychology, Elsevier, vol. 30(2), pages 203-215, April.
    15. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2005. "Judgemental Overconfidence, Self-Monitoring, and Trading Performance in an Experimental Financial Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 287-312.
    16. Ying Luo, Guo, 2013. "Can representativeness heuristic traders survive in a competitive securities market?," Journal of Financial Markets, Elsevier, vol. 16(1), pages 152-164.
    17. 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.
    18. Felipe Pérez, 1998. "- Private Experience In Adaptive Learning Models," Working Papers. Serie AD 1998-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    19. Enrique Fatás & Tibor Neugebauer & Pilar Tamborero, 2004. "How politicians make decisions under risk: a political choice experiment," Economic Working Papers at Centro de Estudios Andaluces E2004/58, Centro de Estudios Andaluces.
    20. Claudia Keser & Gerrit Kimpel & Andreas Oestreicher, 2016. "Would a CCCTB mitigate profit shifting?," CIRANO Working Papers 2016s-29, CIRANO.
    21. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
    22. Theo Offerman, 2002. "Efficiency in Auctions with Private and Common Values: An Experimental Study," American Economic Review, American Economic Association, vol. 92(3), pages 625-643, June.
    23. Tuttle, Brad & Coller, Maribeth & Burton, F. Greg, 1997. "An examination of market efficiency: Information order effects in a laboratory market," Accounting, Organizations and Society, Elsevier, vol. 22(1), pages 89-103, January.
    24. Park, Sungsoon & Rothrock, Ling, 2007. "Systematic analysis of framing bias in missile defense: Implications toward visualization design," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1383-1398, November.
    25. Nelson, Mark W. & Bloomfield, Robert & Hales, Jeffrey W. & Libby, Robert, 2001. "The Effect of Information Strength and Weight on Behavior in Financial Markets," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 168-196, November.

    More about this item

    Keywords

    MATHEMATICS; STATISTICS; STOCK MARKET;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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