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Effect of Digitalized Rumor Clarification on Stock Markets

Author

Listed:
  • Jun Wang
  • Zhilong Xie
  • Qing Li
  • Jinghua Tan
  • Rong Xing
  • Yuanzhu Chen
  • Fengyun Wu

Abstract

Stock volatility is influenced by the release, dissemination, and acceptance of information. Rumor clarification is expected to reduce asymmetric information and abnormal stock returns by increasing information transparency. However, investors are irrational, and modern behavioral finance studies attribute non-random stock movements to investors’ cognitive and emotional biases. The verification of rumor authenticity may cause fluctuations in investor sentiment, which increases impulsive investing behaviors and stock movements. Due to the widespread and fast accessibility of social media, many electronic information platforms have been established to clarify rumors. It is critical to understand the effects of digitalized rumor clarification on stock markets. In this study, we extracted 12,663 rumor-clarification pairs from 1,804,520 social media posts. We quantified the language used in these messages via sentiment analysis, along with online firm behaviors, to study the effect of clarifications on stock markets. Our findings are as follows: (1) Digitalized rumor-clarification messages affect the abnormal returns of relevant stocks. (2) This influence can be quantified and measured by the emotion polarity of rumor clarification. (3) Firms’ online clarification behaviors, including information disclosure frequency, response time, and wording, have limited to no influence on abnormal returns.

Suggested Citation

  • Jun Wang & Zhilong Xie & Qing Li & Jinghua Tan & Rong Xing & Yuanzhu Chen & Fengyun Wu, 2019. "Effect of Digitalized Rumor Clarification on Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(2), pages 450-474, January.
    • Handle: RePEc:mes:emfitr:v:55:y:2019:i:2:p:450-474
    DOI: 10.1080/1540496X.2018.1534683
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    Cited by:

    1. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
    2. Liu, Kaiyi & Yuan, Xianghui & Wang, Chen & Hou, Wenxuan, 2022. "Silence is golden? Responses to rumors by Chinese listed firms," Finance Research Letters, Elsevier, vol. 49(C).
    3. Qianwei Ying & Tahir Yousaf & Qurat ul Ain & Yasmeen Akhtar & Muhammad Shahid Rasheed, 2019. "Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis," JRFM, MDPI, vol. 12(2), pages 1-22, June.
    4. 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).
    5. Jawadi, Fredj & Bourghelle, David & Rozin, Philippe & Cheffou, Abdoulkarim Idi & Uddin, Gazi Salah, 2024. "Sentiment and energy price volatility: A nonlinear high frequency analysis," Energy Economics, Elsevier, vol. 133(C).

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