IDEAS home Printed from https://ideas.repec.org/p/mnh/spaper/2641.html
   My bibliography  Save this paper

How to sample behavior and emotions of traders : [a psychological approach and an empirical example]

Author

Listed:
  • Andersson, Patric
  • Tour, Richard

Abstract

This paper describes an empirical approach based on psychological methodology, which assumes that individual behaviour must be studied within its natural environment. This approach is called experience sampling (ESM). To illustrate the potentials of employing ESM in the stock-trading domain, we report on observations from an explorative pilot study designed to shed light on the following issues: how outcomes of trades are perceived by traders; the reasons traders associate with good and bad trades; and how traders’ moods fluctuate over a trading day.

Suggested Citation

  • Andersson, Patric & Tour, Richard, 2005. "How to sample behavior and emotions of traders : [a psychological approach and an empirical example]," Papers 05-30, Sonderforschungsbreich 504.
    • Handle: RePEc:mnh:spaper:2641
    as

    Download full text from publisher

    File URL: https://madoc.bib.uni-mannheim.de/2641/1/dp05_30.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    2. Peterson, Robert A, 1994. "A Meta-analysis of Cronbach's Coefficient Alpha," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 381-391, September.
    3. Niemeyer, Jonas & Sandås, Patrik, 1995. "An Empirical Analysis of the Trading Structure at the Stockholm Stock Exchange," SSE/EFI Working Paper Series in Economics and Finance 44, Stockholm School of Economics.
    4. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    5. 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.
    6. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    7. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    8. Christie Scollon & Chu Kim-Prieto & Ed Diener, 2003. "Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses," Journal of Happiness Studies, Springer, vol. 4(1), pages 5-34, March.
    9. Ilies, Remus & Judge, Timothy A., 2002. "Understanding the dynamic relationships among personality, mood, and job satisfaction: A field experience sampling study," Organizational Behavior and Human Decision Processes, Elsevier, vol. 89(2), pages 1119-1139, November.
    10. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    11. Bildik, Recep, 2001. "Intra-day seasonalities on stock returns: evidence from the Turkish Stock Market," Emerging Markets Review, Elsevier, vol. 2(4), pages 387-417, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Piet Eichholtz & Erkan Yönder, 2015. "CEO Overconfidence, REIT Investment Activity and Performance," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(1), pages 139-162, March.
    2. Caliendo, Frank & Huang, Kevin X.D., 2008. "Overconfidence and consumption over the life cycle," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1347-1369, December.
    3. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    4. John R. Graham & Campbell R. Harvey & Hai Huang, 2009. "Investor Competence, Trading Frequency, and Home Bias," Management Science, INFORMS, vol. 55(7), pages 1094-1106, July.
    5. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    6. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    7. Hales, Jeffrey, 2009. "Are investors really willing to agree to disagree? An experimental investigation of how disagreement and attention to disagreement affect trading behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 230-241, March.
    8. Oberlechner, Thomas & Osler, Carol, 2012. "Survival of Overconfidence in Currency Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(1), pages 91-113, February.
    9. Oliver Gloede & Lukas Menkhoff, 2014. "Financial Professionals' Overconfidence: Is It Experience, Function, or Attitude?," European Financial Management, European Financial Management Association, vol. 20(2), pages 236-269, March.
    10. Michailova, Julija, 2010. "Development of the overconfidence measurement instrument for the economic experiment," MPRA Paper 34799, University Library of Munich, Germany, revised Nov 2011.
    11. Lambert, Jérôme & Bessière, Véronique & N’Goala, Gilles, 2012. "Does expertise influence the impact of overconfidence on judgment, valuation and investment decision?," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1115-1128.
    12. Helen X. H. Bao & Steven Haotong Li, 2016. "Overconfidence And Real Estate Research: A Survey Of The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    13. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    14. Biljana N. Adebambo & Xuemin (Sterling) Yan, 2018. "Investor Overconfidence, Firm Valuation, and Corporate Decisions," Management Science, INFORMS, vol. 64(11), pages 5349-5369, November.
    15. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    16. Deaves, Richard & Lüders, Erik & Schröder, Michael, 2010. "The dynamics of overconfidence: Evidence from stock market forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 402-412, September.
    17. Michailova, Julija, 2010. "Overconfidence, Risk Aversion and Individual Financial Decisions in Experimental Asset Markets," MPRA Paper 53114, University Library of Munich, Germany, revised Jan 2014.
    18. Merkle, Christoph, 2017. "Financial overconfidence over time: Foresight, hindsight, and insight of investors," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 68-87.
    19. Hsu, Yenshan & Shiu, Cheng-Yi, 2010. "The overconfidence of investors in the primary market," Pacific-Basin Finance Journal, Elsevier, vol. 18(2), pages 217-239, April.
    20. Forman, John & Horton, Joanne, 2019. "Overconfidence, position size, and the link to performance," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 291-309.

    More about this item

    Keywords

    day-traders ; emotions ; experience-sampling ; mood fluctuation ; self-attribution;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G00 - Financial Economics - - General - - - General
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - 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:mnh:spaper:2641. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Katharina Rautenberg (email available below). General contact details of provider: https://edirc.repec.org/data/sfmande.html .

    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.