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Communication and Comovement: Evidence from Online Stock Forums

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  • Lei Jiang
  • Jinyu Liu
  • Baozhong Yang

Abstract

We study investor communication and stock comovement using a novel data set from an active online stock forum in China. We find substantial comovement among the returns of a stock and its “related stocks,” which are frequently discussed in the subforum dedicated to the given stock. Comovement is greater when the discussion of related stocks is more intensive. Further, the effect of communication on comovement is stronger for stocks associated with higher information uncertainty. Codiscussed stocks are more actively traded and experience more correlated trading. A trading strategy that exploits communication‐driven comovement generates abnormal returns. Our findings highlight the impact of investor communication on asset comovement.

Suggested Citation

  • Lei Jiang & Jinyu Liu & Baozhong Yang, 2019. "Communication and Comovement: Evidence from Online Stock Forums," Financial Management, Financial Management Association International, vol. 48(3), pages 805-847, September.
    • Handle: RePEc:bla:finmgt:v:48:y:2019:i:3:p:805-847
    DOI: 10.1111/fima.12245
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    Cited by:

    1. Zhang, Ziqi & Su, Zhi & Wang, Ke & Zhang, Yongji, 2022. "Corporate environmental information disclosure and stock price crash risk: Evidence from Chinese listed heavily polluting companies," Energy Economics, Elsevier, vol. 112(C).
    2. Wu, Chunying & Xiong, Xiong & Gao, Ya & Zhang, Jin, 2022. "Does social media coverage deter firms from withholding bad news? Evidence from stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 84(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. Zeng, Qing & Cao, Jiawei & Guo, Yangli & Dong, Dayong, 2023. "The macroeconomic attention index: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    5. Zhang, Tianjiao & Shen, Zhe & Sun, Qian, 2022. "Product market advertising and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    6. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    7. Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
    8. Hu, Yitong & Li, Xiao & Goodell, John W. & Shen, Dehua, 2021. "Investor attention shocks and stock co-movement: Substitution or reinforcement?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    9. Chen, Zilin & Chu, Liya & Liang, Dawei & Tu, Jun, 2022. "Far away from home: Investors’ underreaction to geographically dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    10. Hu, Jun & Wu, Huiying & Ying, Sammy Xiaoyan & Long, Wenbin, 2021. "Relative-to-rival corporate philanthropy, product market competitiveness, and stakeholders," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(1).

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