IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/34799.html
   My bibliography  Save this paper

Development of the overconfidence measurement instrument for the economic experiment

Author

Listed:
  • Michailova, Julija

Abstract

In this article results of the two experiments, aimed at the development of the instrument (test) that would enable construction of the comprehensive measure of individual overconfidence for the use in economic overconfidence experiments, are presented. Instrument was obtained in a two-stage procedure. In the first experimental phase, a pilot test, consisting of fifty general-knowledge questions of the unknown difficulty, was conducted to divide the items into three difficulty levels: hard, average-difficulty and easy questions. The second phase was aimed at verification of the replicability of results. Statistical tests supported the existence of the hard-easy effect, verified the success of categorization of questions into three levels of difficulty, and showed that gender was not associated with overconfidence in the developed instrument. The average group overconfidence measures obtained from both experimental phases did not differ from each other significantly. Instrument’s internal consistency was found to be good and acceptable for the use in social research. Compared to the tests used in the foregoing economic experiments, the obtained test is believed to result in the improvement of the overconfidence measurement quality.

Suggested Citation

  • Michailova, Julija, 2010. "Development of the overconfidence measurement instrument for the economic experiment," MPRA Paper 34799, University Library of Munich, Germany, revised Nov 2011.
    • Handle: RePEc:pra:mprapa:34799
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/34799/1/MPRA_paper_34799.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/42393/1/MPRA_paper_42393.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    3. Klayman, Joshua & Soll, Jack B. & Gonzalez-Vallejo, Claudia & Barlas, Sema, 1999. "Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(3), pages 216-247, September.
    4. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    5. Markus Noth & Martin Weber, 2003. "Information Aggregation with Random Ordering: Cascades and Overconfidence," Economic Journal, Royal Economic Society, vol. 113(484), pages 166-189, January.
    6. Kirchler, Erich & Maciejovsky, Boris, 2002. "Simultaneous Over- and Underconfidence: Evidence from Experimental Asset Markets," Journal of Risk and Uncertainty, Springer, vol. 25(1), pages 65-85, July.
    7. Caballe, Jordi & Sakovics, Jozsef, 2003. "Speculating against an overconfident market," Journal of Financial Markets, Elsevier, vol. 6(2), pages 199-225, April.
    8. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    9. De Long, J Bradford & Shleifer, Andrei & Summers, Lawrence H & Waldmann, Robert J, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    10. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    11. Glaser, Markus & Langer, Thomas & Weber, Martin, 2005. "Overconfidence of professionals and lay men : individual differences within and between tasks?," Papers 05-25, Sonderforschungsbreich 504.
    12. Thomas Oberlechner & Carol Osler, 2009. "Overconfidence in Currency Markets," Working Papers 02, Brandeis University, Department of Economics and International Business School.
    13. Keasey, Kevin & Watson, Robert, 1989. "Consensus and accuracy in accounting studies of decision-making: A note on a new measure of consensus," Accounting, Organizations and Society, Elsevier, vol. 14(4), pages 337-345, July.
    14. Erik Hoelzl & Aldo Rustichini, 2005. "Overconfident: Do You Put Your Money On It?," Economic Journal, Royal Economic Society, vol. 115(503), pages 305-318, April.
    15. Michaely, Roni & Thaler, Richard H & Womack, Kent L, 1995. "Price Reactions to Dividend Initiations and Omissions: Overreaction or Drift?," Journal of Finance, American Finance Association, vol. 50(2), pages 573-608, June.
    16. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2007. "Asset bubbles without dividends : an experiment," Papers 07-01, Sonderforschungsbreich 504.
    17. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    18. Pavlo Blavatskyy, 2009. "Betting on own knowledge: Experimental test of overconfidence," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 39-49, February.
    19. Ronis, David L. & Yates, J. Frank, 1987. "Components of probability judgment accuracy: Individual consistency and effects of subject matter and assessment method," Organizational Behavior and Human Decision Processes, Elsevier, vol. 40(2), pages 193-218, October.
    20. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    21. Menkhoff, Lukas & Schmidt, Ulrich & Brozynski, Torsten, 2006. "The impact of experience on risk taking, overconfidence, and herding of fund managers: Complementary survey evidence," European Economic Review, Elsevier, vol. 50(7), pages 1753-1766, October.
    22. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    23. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    24. 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.
    25. Benos, Alexandros V., 1998. "Aggressiveness and survival of overconfident traders," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 353-383, September.
    26. 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.
    27. 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.
    28. 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.
    29. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    30. Loughran, Tim & Ritter, Jay R, 1995. "The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    31. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    32. Sniezek, Janet A. & Paese, Paul W. & Switzer, Fred S., 1990. "The effect of choosing on confidence in choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 46(2), pages 264-282, August.
    33. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
    34. Richard Deaves & Erik Lüders & Guo Ying Luo, 2009. "An Experimental Test of the Impact of Overconfidence and Gender on Trading Activity," Review of Finance, European Finance Association, vol. 13(3), pages 555-575.
    35. Arkes, Hal R. & Christensen, Caryn & Lai, Cheryl & Blumer, Catherine, 1987. "Two methods of reducing overconfidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 133-144, February.
    36. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    37. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Viktorija Ilieva & Thomas Brudermann & Ljubomir Drakulevski, 2018. "“Yes, we know!” (Over)confidence in general knowledge among Austrian entrepreneurs," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-15, May.
    2. Devista Yoga Prasetyo & Priyo Hari Adi & Theresia Woro Damayanti, 2020. "Overconfidence, Gender and Tax Compliance - the Indonesian Evidence," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 16(4), pages 135-143.

    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. Michailova, Julija, 2010. "Development of the overconfidence measurement instrument for the economic experiment," MPRA Paper 26384, University Library of Munich, Germany.
    2. Michailova, Julija, 2010. "Overconfidence and bubbles in experimental asset markets," MPRA Paper 26388, University Library of Munich, Germany.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    10. Fellner-Röhling, Gerlinde & Krügel, Sebastian, 2014. "Judgmental overconfidence and trading activity," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 827-842.
    11. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    12. Dennis Dittrich & Werner Guth & Boris Maciejovsky, 2005. "Overconfidence in investment decisions: An experimental approach," The European Journal of Finance, Taylor & Francis Journals, vol. 11(6), pages 471-491.
    13. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    14. Glaser, Markus & Nöth, Markus & Weber, Martin, 2003. "Behavioral finance," Papers 03-14, Sonderforschungsbreich 504.
    15. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    16. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    17. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    18. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    19. Nguyen, Nhut H. & Truong, Cameron, 2013. "The information content of stock markets around the world: A cultural explanation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 1-29.
    20. Markus Glaser & Thomas Langer & Martin Weber, 2007. "On the Trend Recognition and Forecasting Ability of Professional Traders," Decision Analysis, INFORMS, vol. 4(4), pages 176-193, December.

    More about this item

    Keywords

    overconfidence; instrument development; experiment;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - 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:pra:mprapa:34799. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.