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Does a scopic regime produce conformism? Herding behavior among trade leaders on social trading platforms

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  • Roland Gemayel
  • Alex Preda

Abstract

Social trading platforms (STPs) are transparent online markets governed by a scopic regime, where order flow is publicly disclosed and participants are subject to constant reciprocal scrutiny. Participants on STPs can be categorized into trade leaders and copiers, where the former execute unique trades and manage the funds allocated to them by the latter in return for compensation. Given limited individual capacity and the competition to attract copiers, we investigate whether the scopic regime produces excess and perpetual conformism among trade leaders. Using data from a popular STP, and from an anonymous traditional foreign exchange broker, we show that the scopic regime produces excess levels of herding. Under the scopic environment, we find that herding is high when market information is scarce, which is evidence of herding due to informational cascades. We find herding to be relatively low among risk-seeking trade leaders, which may be a sign of overconfidence. Herding is high for larger trades, suggesting that traders herd to avoid the disappointment associated with underperforming on large positions. Finally, we show that herding in the scopic environment persists at much higher levels compared to traditional environments. Our findings indicate that exposure to a scopic information-rich environment augments the limitations and personal biases of individual traders, thus producing excess and perpetual herding.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:eurjfi:v:24:y:2018:i:14:p:1144-1175
    DOI: 10.1080/1351847X.2017.1405832
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    Cited by:

    1. 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.
    2. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    3. Fung, Derrick W.H. & Lee, Wing Yan & Yeh, Jason J.H. & Yuen, Fei Lung, 2020. "Friend or foe: The divergent effects of FinTech on financial stability," Emerging Markets Review, Elsevier, vol. 45(C).
    4. 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).
    5. Gemayel, Roland & Preda, Alex, 2024. "Herding in the cryptocurrency market: A transaction-level analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).

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