IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2023i4p431-445.html
   My bibliography  Save this article

Copytrading, a New Phenomenon: Comparative Economic and Legal Overview

Author

Listed:
  • Fabiana Fragnito

Abstract

The author focuses on the new phenomenon of copytrading, starting from a thorough knowledge of online financial trading tools. As more and more individuals have ventured into the online trade of financial instruments through new technologies and the Internet, trading has become accessible to anyone. It will be shown that operating within financial markets is not easy in the light of a series of economic techniques developed by experts in the field. This paper aims to provide an overview of the evolution of markets and therefore how the advent of the Internet and the creation of an extremely connected society is influencing the world of the stock exchange, changing actors and methods. It will especially explore the role and weight of today’s social networks in the financial markets and how, through their integration in stock exchange environments, a new trading system has developed that is increasingly open to all kinds of "investors" – recalling, for example, some start-ups engaged in a real process of "democratizing finance", thanks to their low costs and easy accessibility, like eToro. On one hand, the paper’s objective is the interdisciplinary nature of this phenomenon: economic profiles which explain its functioning and the legal consequences it generates, imposing organic regulation. The other objective relates to inexperienced traders being able to make investment choices with diligence and conscience; the paper will outline some traits of the regulatory regulation of online trading with a view to a comparison between the Italian and Bulgarian systems.

Suggested Citation

  • Fabiana Fragnito, 2023. "Copytrading, a New Phenomenon: Comparative Economic and Legal Overview," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 431-445.
  • Handle: RePEc:bas:econth:y:2023:i:4:p:431-445
    as

    Download full text from publisher

    File URL: https://etj.iki.bas.bg/storage/app/uploads/public/652/ee0/33b/652ee033b0c2d066373678.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
    2. 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.
    3. Yang-Yu Liu & Jose C Nacher & Tomoshiro Ochiai & Mauro Martino & Yaniv Altshuler, 2014. "Prospect Theory for Online Financial Trading," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-7, October.
    4. Yang-Yu Liu & Jose C. Nacher & Tomoshiro Ochiai & Mauro Martino & Yaniv Altshuler, 2014. "Prospect Theory for Online Financial Trading," Papers 1402.6393, arXiv.org, revised Mar 2014.
    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. 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.
    2. 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.
    3. 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.
    4. Benjamin M Blau & Ryan J Whitby, 2017. "Range-based volatility, expected stock returns, and the low volatility anomaly," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-19, November.
    5. James Schmitz & David Rothschild, 2019. "Understanding market functionality and trading success," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-28, August.
    6. Karolina Puławska, 2022. "Effects of the bank levy introduction on the interbank market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 844-864, January.
    7. 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.
    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. Ambler, Kate & Godlonton, Susan & Recalde, María P., 2021. "Follow the leader? A field experiment on social influence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1280-1297.
    10. Cheng, Xiu & Long, Ruyin & Chen, Hong, 2020. "A policy utility dislocation model based on prospect theory: A case study of promoting policies with low-carbon lifestyle," Energy Policy, Elsevier, vol. 137(C).
    11. Aneta Hryckiewicz & Piotr Mielus & Karolina Skorulska & Malgorzata Snarska, 2018. "Does a bank levy increase frictions on the interbank market?," KAE Working Papers 2018-033, Warsaw School of Economics, Collegium of Economic Analysis.
    12. 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.
    13. 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.
    14. Apesteguia, Jose & Oechssler, Jörg & Weidenholzer, Simon, 2018. "Copy Trading," Working Papers 0649, University of Heidelberg, Department of Economics.
    15. Yongqiang Meng & Dehua Shen & Xiong Xiong & Jorgen Vitting Andersen, 2020. "A Socio-Finance Model: The Case of Bitcoin," Documents de travail du Centre d'Economie de la Sorbonne 20031, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Fathin Faizah Said & Raja Solan Somasuntharam & Mohd Ridzwan Yaakub & Tamat Sarmidi, 2023. "Impact of Google searches and social media on digital assets’ volatility," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    17. 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.
    18. Lixing Mei & Yulei Rao & Mei Wang & Jianxin Wang, 2019. "Do investors post messages differently from mobile devices? The correlation between mobile Internet messages posting and stock returns," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 66(4), pages 423-452, December.
    19. Al-Nasseri, Alya & Menla Ali, Faek & Tucker, Allan, 2021. "Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors," International Review of Financial Analysis, Elsevier, vol. 78(C).
    20. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).

    More about this item

    JEL classification:

    • K29 - Law and Economics - - Regulation and Business Law - - - Other
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:bas:econth:y:2023:i:4:p:431-445. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    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.