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Losing by learning? A study of social trading platform

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  • Jin, Xuejun
  • Zhu, Yu
  • Huang, Ying Sophie

Abstract

This paper is the first to use a unique dataset extracted from a popular social trading platform in China to investigate whether social learning on average encourages riskier trading and hurt stock portfolio returns. We observe an increasing trading frequency and a preference for high-volatility stocks for signal followers on average in the network over time. Furthermore, we find leading trades perform relatively better than lagging ones, indicating social learning in a social trading network is not positively associated with portfolio performance. Taken together, our empirical results are in support of Han et al. (2018).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:finlet:v:28:y:2019:i:c:p:171-179
    DOI: 10.1016/j.frl.2018.04.017
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    References listed on IDEAS

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    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. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Zhang, Yongjie & An, Yahui & Feng, Xu & Jin, Xi, 2017. "Celebrities and ordinaries in social networks: Who knows more information?," Finance Research Letters, Elsevier, vol. 20(C), pages 153-161.
    4. Rawley Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," Working Papers (Old Series) 1618, Federal Reserve Bank of Cleveland.
    5. Han, Bing & Hirshleifer, David & Walden, Johan, 2022. "Social Transmission Bias and Investor Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 57(1), pages 390-412, February.
    6. Milla Siikanen & Kk{e}stutis Baltakys & Juho Kanniainen & Ravi Vatrapu & Raghava Mukkamala & Abid Hussain, 2017. "Facebook drives behavior of passive households in stock markets," Papers 1709.07300, arXiv.org, revised May 2018.
    7. Han N. Ozsoylev & Johan Walden & M. Deniz Yavuz & Recep Bildik, 2014. "Investor Networks in the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1323-1366.
    8. Rawley Z. Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3177-3209.
    9. 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.
    10. Siikanen, Milla & Baltakys, Kęstutis & Kanniainen, Juho & Vatrapu, Ravi & Mukkamala, Raghava & Hussain, Abid, 2018. "Facebook drives behavior of passive households in stock markets," Finance Research Letters, Elsevier, vol. 27(C), pages 208-213.
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    Cited by:

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    2. Daphne W. Yiu & William P. Wan & Kelly Xing Chen & Xiaocong Tian, 2022. "Public sentiment is everything: Host-country public sentiment toward home country and acquisition ownership during institutional transition," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(6), pages 1202-1227, August.
    3. 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).

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    More about this item

    Keywords

    Social trading; Portfolio management; Risk-taking behavior;
    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

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