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The influence of investment experience on market prices: laboratory evidence

Author

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  • Jürgen Huber

    (Innsbruck University School of Management)

  • Michael Kirchler

    (Innsbruck University School of Management
    University of Gothenburg)

  • Thomas Stöckl

    (Innsbruck University School of Management)

Abstract

We run laboratory experiments to analyze the impact of prior investment experience on price efficiency in asset markets. Before subjects enter the asset market they gain either no, positive, or negative investment experience in an investment game. To get a comprehensive picture about the role of experience we implement two asset market designs. One is prone to inefficient pricing, exhibiting bubble and crash patterns, while the other exhibits efficient pricing. We find that (i) both, positive and negative, experience gained in the investment game lead to efficient pricing in both market settings. Further, we show that (ii) the experience effect dominates potential effects triggered by positive and negative sentiment generated by the investment game. We conjecture that experiencing changing price paths in the investment game can create a higher sensibility on changing fundamentals (through higher salience) among subjects in the subsequently run asset market.

Suggested Citation

  • Jürgen Huber & Michael Kirchler & Thomas Stöckl, 2016. "The influence of investment experience on market prices: laboratory evidence," Experimental Economics, Springer;Economic Science Association, vol. 19(2), pages 394-411, June.
    • Handle: RePEc:kap:expeco:v:19:y:2016:i:2:d:10.1007_s10683-015-9445-0
    DOI: 10.1007/s10683-015-9445-0
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    Cited by:

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    2. Roger, Tristan & Roger, Patrick & Willinger, Marc, 2022. "Number sense, trading decisions and mispricing: An experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    3. Jørgen Vitting Andersen & Philippe de Peretti, 2017. "New method to detect convergence in simple multi-period market games," Documents de travail du Centre d'Economie de la Sorbonne 17058, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Griffin, John, 2017. "Risk premia and ambiguity in an experimental market featuring a long-lived asset," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 21-27.
    5. Florian Lindner & Michael Kirchler & Stephanie Rosenkranz & Utz Weitzel, 2019. "Social Status and Risk-Taking in Investment Decisions," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2019_07, Max Planck Institute for Research on Collective Goods.
    6. Jørgen Vitting Andersen & Philippe de Peretti, 2017. "New method to detect convergence in simple multi-period market games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01673331, HAL.
    7. Borsboom, Charlotte & Janssen, Dirk-Jan & Strucks, Markus & Zeisberger, Stefan, 2022. "History matters: How short-term price charts hurt investment performance," Journal of Banking & Finance, Elsevier, vol. 134(C).
    8. Owen Powell & Natalia Shestakova, 2017. "The robustness of mispricing results in experimental asset markets," Vienna Economics Papers 1702, University of Vienna, Department of Economics.
    9. Owen Powell & Natalia Shestakova, 2017. "The robustness of mispricing results in experimental asset markets," Vienna Economics Papers vie1702, University of Vienna, Department of Economics.
    10. Jørgen Vitting Andersen & Philippe de Peretti, 2017. "New method to detect convergence in simple multi-period market games," Post-Print halshs-01673331, HAL.

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    More about this item

    Keywords

    Experimental finance; Asset market; Bubble; Mispricing; Information; Experience;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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