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Video-based social media and stock price crash risk: Evidence from YouTube

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  • Jung, Woojune
  • Ahn, Hyejin

Abstract

This study examines whether video-based social media influences stock price crash risk. Using YouTube data regarding Korean listed companies’ stocks from 2014 to 2022, we find that the number of YouTube videos related with the stock is negatively associated with stock price crash risk, with this effect being more pronounced in the post-COVID-19 period. The results reveal that YouTube videos conduct informational and disciplinary role, and thus reduce excessive negative market reactions. Additionally, the negative relation between the number of YouTube videos and stock price crash risk is more pronounced for firms with high information asymmetry. Overall, this study provides evidence that YouTube functions as an important platform for providing and sharing information regarding the stock market.

Suggested Citation

  • Jung, Woojune & Ahn, Hyejin, 2025. "Video-based social media and stock price crash risk: Evidence from YouTube," Economics Letters, Elsevier, vol. 249(C).
    • Handle: RePEc:eee:ecolet:v:249:y:2025:i:c:s0165176524005834
    DOI: 10.1016/j.econlet.2024.112099
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    References listed on IDEAS

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    1. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    2. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    3. Jeffrey L. Callen & Xiaohua Fang, 2017. "Crash Risk and the Auditor–Client Relationship," Contemporary Accounting Research, John Wiley & Sons, vol. 34(3), pages 1715-1750, September.
    4. Feng He & Yaqian Feng & Lingbing Feng, 2023. "Social media information dissemination and corporate bad news hoarding," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1503-1532, April.
    5. Kim, Jeong-Bon & Li, Yinghua & Zhang, Liandong, 2011. "CFOs versus CEOs: Equity incentives and crashes," Journal of Financial Economics, Elsevier, vol. 101(3), pages 713-730, September.
    6. An, Zhe & Chen, Chen & Naiker, Vic & Wang, Jun, 2020. "Does media coverage deter firms from withholding bad news? Evidence from stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 64(C).
    7. Jun Chen & Kam C. Chan & Wang Dong & Feida (Frank) Zhang, 2017. "Internal Control and Stock Price Crash Risk: Evidence from China," European Accounting Review, Taylor & Francis Journals, vol. 26(1), pages 125-152, January.
    8. Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
    9. Al Guindy, Mohamed, 2021. "Corporate Twitter use and cost of equity capital," Journal of Corporate Finance, Elsevier, vol. 68(C).
    10. Md Miran Hossain & Babak Mammadov & Hamid Vakilzadeh, 2022. "Wisdom of the crowd and stock price crash risk: evidence from social media," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 709-742, February.
    11. Chang, Xin & Chen, Yangyang & Zolotoy, Leon, 2017. "Stock Liquidity and Stock Price Crash Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1605-1637, August.
    12. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    13. Callen, Jeffrey L. & Fang, Xiaohua, 2015. "Short interest and stock price crash risk," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 181-194.
    14. Kim, Jeong-Bon & Li, Yinghua & Zhang, Liandong, 2011. "Corporate tax avoidance and stock price crash risk: Firm-level analysis," Journal of Financial Economics, Elsevier, vol. 100(3), pages 639-662, June.
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