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Do credit rating agencies listen to investors’ voices on social media? Evidence from China

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  • Liu, Yu
  • Yang, Lingxuan
  • Zhou, Jing

Abstract

We examine the impact of social media on credit rating agency practices, as measured by issuer credit ratings. Information dissemination on social media increases the visibility of issuers, which is expected to exert reputational pressure on rating agencies. Consistent with the aim of rating agencies to mitigate such pressure, we find that credit ratings are lower for issuers with higher levels of information dissemination on social media. This result is more pronounced when online information contains negative sentiment, attracts more interactions, and is disseminated during the period of improvements in online environments. Our analysis confirms that reputational pressure is the mechanism through which social media affects credit ratings. Finally, we show that ratings quality increase with the level of information dissemination on social media. Overall, our results contribute to the literature on the economic benefits of social media, which acts as an informal institution to ensure the effectiveness of credit ratings in emerging economies.

Suggested Citation

  • Liu, Yu & Yang, Lingxuan & Zhou, Jing, 2023. "Do credit rating agencies listen to investors’ voices on social media? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1475-1499.
  • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:1475-1499
    DOI: 10.1016/j.iref.2023.07.097
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    References listed on IDEAS

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    1. Samuel B. Bonsall IV & Eric R. Holzman & Brian P. Miller, 2017. "Managerial Ability and Credit Risk Assessment," Management Science, INFORMS, vol. 63(5), pages 1425-1449, May.
    2. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    3. Mathis, Jérôme & McAndrews, James & Rochet, Jean-Charles, 2009. "Rating the raters: Are reputation concerns powerful enough to discipline rating agencies?," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 657-674, July.
    4. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    5. Jiaxing You & Bohui Zhang & Le Zhang, 2018. "Who Captures the Power of the Pen?," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 43-96.
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    Cited by:

    1. Aggarwal, Nidhi & Singh, Manish K. & Thomas, Susan, 2023. "Do decreases in Distance-to-Default predict rating downgrades?," Economic Modelling, Elsevier, vol. 129(C).

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    More about this item

    Keywords

    Social media; Credit rating agency; Reputational pressure; Ratings quality;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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