IDEAS home Printed from https://ideas.repec.org/a/eee/jobhdp/v64y1995i2p185-202.html
   My bibliography  Save this article

Professional Traders as Intuitive Bayesians

Author

Listed:
  • Anderson, Matthew J.
  • Sunder, Shyam

Abstract

No abstract is available for this item.

Suggested Citation

  • Anderson, Matthew J. & Sunder, Shyam, 1995. "Professional Traders as Intuitive Bayesians," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(2), pages 185-202, November.
    • Handle: RePEc:eee:jobhdp:v:64:y:1995:i:2:p:185-202
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0749-5978(85)71099-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Christoph Huber & Christian König-Kersting & Matteo M. Marini, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck, revised Jun 2024.
    5. 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.
    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. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," NBER Working Papers 25200, National Bureau of Economic Research, Inc.
    8. Ganguly, Ananda R & Kagel, John H & Moser, Donald V, 2000. "Do Asset Market Prices Reflect Traders' Judgment Biases?," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 219-245, May.
    9. Claudia Keser & Gerrit Kimpel & Andreas Oestreicher, 2016. "Would a CCCTB mitigate profit shifting?," CIRANO Working Papers 2016s-29, CIRANO.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Stephanie Wang, 2012. "Speculative Overpricing in Asset Markets with Information Flows," Working Paper 489, Department of Economics, University of Pittsburgh, revised Jan 2012.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Felipe Pérez, 1998. "- Private Experience In Adaptive Learning Models," Working Papers. Serie AD 1998-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    23. 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.
    24. 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.
    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

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jobhdp:v:64:y:1995:i:2:p:185-202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/obhdp .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.