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Does a scopic regime erode the disposition effect? Evidence from a social trading platform

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  • Gemayel, Roland
  • Preda, Alex

Abstract

A scopic regime constitutes a state of permanent reciprocal observation and scrutiny among participants. We investigate whether this environment reduces the disposition effect among retail traders as they are constantly scrutinized by others, thus driving them to realize and limit their losses. We use two anonymous data sets, the first from a popular social trading platform (STP) governed by a scopic regime, and the second from a traditional foreign exchange broker. STPs allow participants to interact and copy each other’s trades using mirror trading, thus implicitly creating two groups; trade leaders who execute unique trades to build their performance record, and copiers who allocate funds to be managed by the former. We find ample evidence of a weaker disposition effect among trade leaders in the scopic environment compared to traders in a traditional setting. Our findings suggest that a state of constant observation and scrutiny erodes the disposition effect as individuals become more self-conscious of their actions and limit their losses to avoid tarnishing their public trading record.

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  • Gemayel, Roland & Preda, Alex, 2018. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 175-190.
    • Handle: RePEc:eee:jeborg:v:154:y:2018:i:c:p:175-190
    DOI: 10.1016/j.jebo.2018.08.014
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    Cited by:

    1. Bachmann, Kremena, 2024. "Do you have a choice?: Implications for belief updating and the disposition effect," Journal of Economic Psychology, Elsevier, vol. 102(C).
    2. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    3. Jose Apesteguia & Jörg Oechssler & Simon Weidenholzer, 2020. "Copy Trading," Management Science, INFORMS, vol. 66(12), pages 5608-5622, December.
      • Apesteguia, Jose & Oechssler, Jörg & Weidenholzer, Simon, 2018. "Copy Trading," Working Papers 0649, University of Heidelberg, Department of Economics.
      • Jose Apesteguia & Jörg Oechssler & Simon Weidenholzer, 2018. "Copy trading," Economics Working Papers 1615, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2019.
      • Jose Apesteguia & Jörg Oechssler & Simon Weidenholzer, 2018. "Copy Trading," Working Papers 1048, Barcelona School of Economics.
    4. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    5. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    6. Erdős, Sándor & Papp, Tamás & Vörös, Zsófia, 2022. "The effects of community-based signals on investment decisions in copy trading," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    7. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
    8. Pelster, Matthias, 2024. "Leverage constraints and investors' choice of underlyings," Journal of Banking & Finance, Elsevier, vol. 162(C).
    9. Liêu, L.M. & Pelster, M., 2020. "Framing and the disposition effect in a scopic regime," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 175-185.
    10. Riccardo Reith & Maximilian Fischer & Bettina Lis, 2020. "Explaining the intention to use social trading platforms: an empirical investigation," Journal of Business Economics, Springer, vol. 90(3), pages 427-460, April.

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    More about this item

    Keywords

    Social trading; Disposition effect; Scopic regime; Retail trading; Foreign exchange; Behavioral bias;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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