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Overconfidence in Judgements: the Evidence, the Implications and the Limitations

Author

Listed:
  • Shih-Wei Wu
  • Johnnie E.V. Johnson

    (Centre for Risk Research, School of Management, University of Southampton)

  • Ming-Chien Sung

    (Centre for Risk Research, School of Management, University of Southampton)

Abstract

This paper examines the degree to which individuals tend to be overconfident in their judgements and identifies the implications for those trading in prediction markets. The findings from laboratory-based psychological studies of overconfidence are compared and contrasted with those from financial market studies. The broad conclusion from this literature survey is that overconfidence is a widespread phenomenon which is influenced by a number of factors, such as, the difficulty of the judgement task, the amount and nature of outcome feedback, and the gender and culture of the decision maker. It is also clear that there are a number of limitations of the existing research and a suggested methodology for further research in this area is examined.

Suggested Citation

  • Shih-Wei Wu & Johnnie E.V. Johnson & Ming-Chien Sung, 2008. "Overconfidence in Judgements: the Evidence, the Implications and the Limitations," Journal of Prediction Markets, University of Buckingham Press, vol. 2(1), pages 73-90, May.
  • Handle: RePEc:buc:jpredm:v:2:y:2008:i:1:p:73-90
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    Citations

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    Cited by:

    1. Kris Hardies & Diane Breesch & Joël Branson, 2011. "Male and female auditors' overconfidence," Managerial Auditing Journal, Emerald Group Publishing, vol. 27(1), pages 105-118, November.
    2. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.

    More about this item

    Keywords

    OVERCONFIDENCE; HEURISTICS; BIASES; FINANCIAL MARKET; PREDICTIONS;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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