IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v97y2022ics2214804322000234.html
   My bibliography  Save this article

The effects of community-based signals on investment decisions in copy trading

Author

Listed:
  • Erdős, Sándor
  • Papp, Tamás
  • Vörös, Zsófia

Abstract

This study examines the importance and effects of community-based signals when choosing a trader to copy in a mock-up social trading platform. Although the studies examining the effects of social influence in choosing a trader to copy and herding point toward the importance of social influence, these works do not evaluate how related signals in different constellations with other signals affect the copying behavior. The results of a two-alternative forced-choice experiment in which subjects made 18 investment decisions systematically show the importance of community-based signals in the selection of traders judged worth copying, i.e., their potential to influence investment decisions and the general preference toward positive social profiles.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:soceco:v:97:y:2022:i:c:s2214804322000234
    DOI: 10.1016/j.socec.2022.101847
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804322000234
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socec.2022.101847?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wohlgemuth, Veit & Berger, Elisabeth S.C. & Wenzel, Matthias, 2016. "More than just financial performance: Trusting investors in social trading," Journal of Business Research, Elsevier, vol. 69(11), pages 4970-4974.
    2. Rawley Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," Working Papers (Old Series) 1618, Federal Reserve Bank of Cleveland.
    3. 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.
    4. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
    5. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    6. Rawley Z. Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3177-3209.
    7. Oehler, Andreas & Horn, Matthias & Wendt, Stefan, 2016. "Benefits from social trading? Empirical evidence for certificates on wikifolios," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 202-210.
    8. Dorfleitner, Gregor & Fischer, Lukas & Lung, Carina & Willmertinger, Philipp & Stang, Nico & Dietrich, Natalie, 2018. "To follow or not to follow – An empirical analysis of the returns of actors on social trading platforms," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 160-171.
    9. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    10. Pelster, Matthias & Hofmann, Annette, 2018. "About the fear of reputational loss: Social trading and the disposition effect," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 75-88.
    11. Mr. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets: A Review," IMF Working Papers 2000/048, International Monetary Fund.
    12. Czaja, Daniel & Röder, Florian, 2020. "Self-attribution bias and overconfidence among nonprofessional traders," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 186-198.
    13. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    14. Roland Gemayel & Alex Preda, 2018. "Does a scopic regime produce conformism? Herding behavior among trade leaders on social trading platforms," The European Journal of Finance, Taylor & Francis Journals, vol. 24(14), pages 1144-1175, September.
    15. Kromidha, Endrit & Li, Matthew C., 2019. "Determinants of leadership in online social trading: A signaling theory perspective," Journal of Business Research, Elsevier, vol. 97(C), pages 184-197.
    16. Jin, Xuejun & Zhu, Yu & Huang, Ying Sophie, 2019. "Losing by learning? A study of social trading platform," Finance Research Letters, Elsevier, vol. 28(C), pages 171-179.
    17. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    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. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. 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.
    3. Scheckenbach, Isabel & Wimmer, Maximilian & Dorfleitner, Gregor, 2021. "The higher you fly, the harder you try not to fall: An analysis of the risk taking behavior in social trading," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 239-259.
    4. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    5. Andreas Oehler & Julian Schneider, 2023. "Social trading: do signal providers trigger gambling?," Review of Managerial Science, Springer, vol. 17(4), pages 1269-1331, May.
    6. Xuejun Jin & Jiawei Yu, 2022. "Does communication increase investors’ trading frequency? Evidence from a Chinese social trading platform," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-32, December.
    7. Minh-Lý Liêu, 2021. "Peer attention and the disposition effect," Working Papers Dissertations 81, Paderborn University, Faculty of Business Administration and Economics.
    8. Kromidha, Endrit & Li, Matthew C., 2019. "Determinants of leadership in online social trading: A signaling theory perspective," Journal of Business Research, Elsevier, vol. 97(C), pages 184-197.
    9. Jose Apesteguia & Jörg Oechssler & Simon Weidenholzer, 2020. "Copy Trading," Management Science, INFORMS, vol. 66(12), pages 5608-5622, December.
      • Jose Apesteguia & Jörg Oechssler & Simon Weidenholzer, 2018. "Copy Trading," Working Papers 1048, Barcelona School 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.
    10. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    11. He, Xue-Zhong & Li, Kai & Santi, Caterina & Shi, Lei, 2022. "Social interaction, volatility clustering, and momentum," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 125-149.
    12. Jing, Wei & Zhang, Xueyong, 2021. "Online social networks and corporate investment similarity," Journal of Corporate Finance, Elsevier, vol. 68(C).
    13. 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.
    14. Mingwen Yang & Zhiqiang (Eric) Zheng & Vijay Mookerjee, 2022. "How Much Is Financial Advice Worth? The Transparency-Revenue Tension in Social Trading," Management Science, INFORMS, vol. 68(7), pages 5252-5268, July.
    15. Jin, Xuejun & Zhu, Yu & Huang, Ying Sophie, 2019. "Losing by learning? A study of social trading platform," Finance Research Letters, Elsevier, vol. 28(C), pages 171-179.
    16. Ali-Rind, Asad & Boubaker, Sabri & Jarjir, Souad Lajili, 2023. "Peer effects in financial economics: A literature survey," Research in International Business and Finance, Elsevier, vol. 64(C).
    17. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    18. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
    19. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
    20. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.

    More about this item

    Keywords

    Social trading; Copy trading; Community-based signals; Investing; Forced-choice experiment;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    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:eee:soceco:v:97:y:2022:i:c:s2214804322000234. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.