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Celebrities and ordinaries in social networks: Who knows more information?

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  • Zhang, Yongjie
  • An, Yahui
  • Feng, Xu
  • Jin, Xi

Abstract

This paper tests the information contained in messages that various types of users post on social networks. Our data come from Sina Weibo, the biggest social network in China. The users are classified as either celebrities or ordinaries. We find that postings from celebrities significantly predict stock returns, whereas postings from ordinaries have no predictive power. Furthermore, postings from celebrities contain more future public information and current private information. Ordinaries’ postings contain only stale information. The event study suggests that ordinaries can be considered as information followers rather than providers. These results are consistent with the informed guru hypothesis.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:finlet:v:20:y:2017:i:c:p:153-161
    DOI: 10.1016/j.frl.2016.09.021
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    Cited by:

    1. Broadstock, David C. & Zhang, Dayong, 2019. "Social-media and intraday stock returns: The pricing power of sentiment," Finance Research Letters, Elsevier, vol. 30(C), pages 116-123.
    2. Zhang, Tonghui & Yuan, Ying & Wu, Xi, 2020. "Is microblogging data reflected in stock market volatility? Evidence from Sina Weibo," Finance Research Letters, Elsevier, vol. 32(C).
    3. Cao, Xing & Zhang, Yongjie & Feng, Xu & Meng, Xiangtong, 2021. "Investor interaction and price efficiency: Evidence from social media," Finance Research Letters, Elsevier, vol. 40(C).
    4. Heleen Brans & Bert Scholtens, 2020. "Under his thumb the effect of president Donald Trump’s Twitter messages on the US stock market," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-11, March.
    5. 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.
    6. 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.
    7. Yao, Wenyun & Wei, Jiahui & Shen, Yongjian & Deng, Yan & Kutan, Ali M., 2020. "Does celebrity spokesperson signal firm performance? Evidence from a drug scandal in China," Finance Research Letters, Elsevier, vol. 34(C).

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    More about this item

    Keywords

    Gurus; Social network; Information; Online postings; Stock price;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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