IDEAS home Printed from https://ideas.repec.org/a/arp/ijefrr/2018p30-37.html
   My bibliography  Save this article

On the Measurement of Overconfidence: An Experimental Study

Author

Listed:
  • Markus Spiwoks

    (Ostfalia University of Applied Sciences, Faculty of Business, Siegfried-Ehlers-Str. 1, 38440 Wolfsburg, Germany)

  • Kilian Bizer

    (Georg August University Göttingen, Faculty of Economic Sciences, Platz der Göttinger Sieben 3, 37073 Göttingen, Germany)

Abstract

This study addresses two methods commonly used to measure overconfidence and examines their reliability. It is shown that traditional methods of assessing subjective certainty concerning a given forecast can contribute to a systematic overestimation of overconfidence. It also becomes apparent that a common approach measuring relative overconfidence can cause a distortion of scientific results. This is particularly valid for study groups in which female and male participants are not equally represented.

Suggested Citation

  • Markus Spiwoks & Kilian Bizer, 2018. "On the Measurement of Overconfidence: An Experimental Study," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(1), pages 30-37, 01-2018.
  • Handle: RePEc:arp:ijefrr:2018:p:30-37
    as

    Download full text from publisher

    File URL: https://www.arpgweb.com/pdf-files/ijefr4(1)30-37.pdf
    Download Restriction: no

    File URL: https://www.arpgweb.com/?ic=journal&journal=5&month=01-2018&issue=1&volume=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    3. 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.
    4. Emmanuel Morales-Camargo & Orly Sade & Charles Schnitzlein & Jaime F. Zender, 2015. "On the Persistence of Overconfidence: Evidence From Multi-Unit Auctions," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 68-80, January.
    5. Cesarini, David & Sandewall, Orjan & Johannesson, Magnus, 2006. "Confidence interval estimation tasks and the economics of overconfidence," Journal of Economic Behavior & Organization, Elsevier, vol. 61(3), pages 453-470, November.
    6. Brookins, Philip & Lucas, Adriana & Ryvkin, Dmitry, 2014. "Reducing within-group overconfidence through group identity and between-group confidence judgments," Journal of Economic Psychology, Elsevier, vol. 44(C), pages 1-12.
    7. Jeremy Clark & Lana Friesen, 2009. "Overconfidence in Forecasts of Own Performance: An Experimental Study," Economic Journal, Royal Economic Society, vol. 119(534), pages 229-251, January.
    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. 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.
    10. Carmen Thoma, 2016. "Under- versus overconfidence: an experiment on how others perceive a biased self-assessment," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 218-239, March.
    11. Huisman, Ronald & van der Sar, Nico L. & Zwinkels, Remco C.J., 2012. "A new measurement method of investor overconfidence," Economics Letters, Elsevier, vol. 114(1), pages 69-71.
    12. Carmen Thoma, 2016. "Under- versus overconfidence: an experiment on how others perceive a biased self-assessment," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 218-239, March.
    13. Proeger, Till & Meub, Lukas, 2014. "Overconfidence as a social bias: Experimental evidence," Economics Letters, Elsevier, vol. 122(2), pages 203-207.
    14. Sasson Bar-Yosef & Itzhak Venezia, 2014. "An Experimental Study of Overconfidence in Accounting Numbers Predictions," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(1), pages 78-89.
    15. Mahatma Kufepaksi, 2011. "The impact of overconfidence and gender on trading activity: how well do investors assess probability?," World Review of Entrepreneurship, Management and Sustainable Development, Inderscience Enterprises Ltd, vol. 7(4), pages 440-462.
    16. 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.
    17. Thoma, Carmen, 2016. "Under- versus overconfidence: an experiment on how others perceive a biased self-assessment," Munich Reprints in Economics 43528, University of Munich, Department of Economics.
    18. Shimon Kogan, 2009. "Distinguishing the Effect of Overconfidence from Rational Best-Response on Information Aggregation," Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1889-1914, May.
    19. Pavlo Blavatskyy, 2009. "Betting on own knowledge: Experimental test of overconfidence," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 39-49, February.
    20. Merkle, Christoph & Weber, Martin, 2011. "True overconfidence: The inability of rational information processing to account for apparent overconfidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 116(2), pages 262-271.
    21. Olsson, Henrik, 2014. "Measuring overconfidence: Methodological problems and statistical artifacts," Journal of Business Research, Elsevier, vol. 67(8), pages 1766-1770.
    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. Merkle, Christoph, 2017. "Financial overconfidence over time: Foresight, hindsight, and insight of investors," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 68-87.
    2. Zahra Murad & Martin Sefton & Chris Starmer, 2016. "How do risk attitudes affect measured confidence?," Journal of Risk and Uncertainty, Springer, vol. 52(1), pages 21-46, February.
    3. 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.
    4. Louis Lévy-Garboua & Muniza Askari & Marco Gazel, 2018. "Confidence biases and learning among intuitive Bayesians," Theory and Decision, Springer, vol. 84(3), pages 453-482, May.
    5. Proeger, Till & Meub, Lukas, 2014. "Overconfidence as a social bias: Experimental evidence," Economics Letters, Elsevier, vol. 122(2), pages 203-207.
    6. Fellner-Röhling, Gerlinde & Krügel, Sebastian, 2014. "Judgmental overconfidence and trading activity," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 827-842.
    7. 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.
    8. Juan Dubra & Jean-Pierre Benoît & Giorgia Romagnoli, 2019. "Belief elicitation when more than money matters," Documentos de Trabajo/Working Papers 1901, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    9. Peter Schwardmann & Joël van der Weele, 2016. "Deception and Self-Deception," Tinbergen Institute Discussion Papers 16-012/I, Tinbergen Institute.
    10. Trejos, Cristian & van Deemen, Adrian & Rodríguez, Yeny E. & Gómez, Juan M., 2019. "Overconfidence and disposition effect in the stock market: A micro world based setting," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 61-69.
    11. Baiba Renerte & Jan Hausfeld & Torsten Twardawski, 2020. "Gender, overconfidence, and optimal group composition for investment decisions," TWI Research Paper Series 121, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    12. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    13. Johansson Stenman, Olof & Nordblom, Katarina, 2010. "Are Men Really More Overconfident than Women? - A Natural Field Experiment on Exam Behavior," Working Papers in Economics 461, University of Gothenburg, Department of Economics.
    14. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    15. Koellinger, Ph.D. & Treffers, T., 2012. "Joy leads to Overconfidence, and a Simple Remedy," ERIM Report Series Research in Management ERS-2012-001-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Bucciol, Alessandro & Quercia, Simone & Sconti, Alessia, 2021. "Promoting financial literacy among the elderly: Consequences on confidence," Journal of Economic Psychology, Elsevier, vol. 87(C).
    17. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    18. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    19. Arni, Patrick & Dragone, Davide & Goette, Lorenz & Ziebarth, Nicolas R., 2021. "Biased health perceptions and risky health behaviors—Theory and evidence," Journal of Health Economics, Elsevier, vol. 76(C).
    20. Oriana Bandiera & Nidhi Parekh & Barbara Petrongolo & Michelle Rao, 2022. "Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments," Economica, London School of Economics and Political Science, vol. 89(S1), pages 38-70, June.

    More about this item

    Keywords

    Behavioral finance; Experiments; Overconfidence; Stock price forecasts; Gender studies.;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

    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:arp:ijefrr:2018:p:30-37. 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: Managing Editor (email available below). General contact details of provider: http://www.arpgweb.com/?ic=journal&journal=5&info=aims .

    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.