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The Social Network Volume of COVID-19 and Stock Market Response

Author

Listed:
  • Chih-Yu Chin
  • Chia-Hsien Tang
  • Yen-Hsien Lee

Abstract

This study applies volume of social network activity to examine whether positive or negative social network volume relating to coronavirus (COVID-19) can stimulate stock performance. It also examines whether a professional manager with abundant cash holdings can buffer against an outbreak of COVID-19. The empirical evidence indicates that social network volume can impact stock performance, and firms operated by a professional manager with abundant cash holdings can buffer against an outbreak of COVID-19. This study offers a different perspective on the effect of an epidemic on the economy and risk avoidance strategies regarding similar epidemics in the future. JEL classification numbers: G11, G14, I10, I18.

Suggested Citation

  • Chih-Yu Chin & Chia-Hsien Tang & Yen-Hsien Lee, 2020. "The Social Network Volume of COVID-19 and Stock Market Response," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-4.
    • Handle: RePEc:spt:apfiba:v:10:y:2020:i:6:f:10_6_4
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    References listed on IDEAS

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    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Chun-Da Chen & Chin-Chun Chen & Wan-Wei Tang & Bor-Yi Huang, 2009. "The positive and negative impacts of the sars outbreak:a case of the Taiwan industries," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 281-293, September.
    3. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    4. Ilaria Bordino & Stefano Battiston & Guido Caldarelli & Matthieu Cristelli & Antti Ukkonen & Ingmar Weber, 2012. "Web Search Queries Can Predict Stock Market Volumes," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-17, July.
    5. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    6. Huson, Mark R. & Malatesta, Paul H. & Parrino, Robert, 2004. "Managerial succession and firm performance," Journal of Financial Economics, Elsevier, vol. 74(2), pages 237-275, November.
    7. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    8. Shan, Liwei & Gong, Stephen X., 2012. "Investor sentiment and stock returns: Wenchuan Earthquake," Finance Research Letters, Elsevier, vol. 9(1), pages 36-47.
    9. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    10. Nason, Robert S. & Patel, Pankaj C., 2016. "Is cash king? Market performance and cash during a recession," Journal of Business Research, Elsevier, vol. 69(10), pages 4242-4248.
    11. Maurizio Rocca & Raffaele Staglianò & Tiziana Rocca & Alfio Cariola & Ekaterina Skatova, 2019. "Cash holdings and SME performance in Europe: the role of firm-specific and macroeconomic moderators," Small Business Economics, Springer, vol. 53(4), pages 1051-1078, December.
    12. repec:bla:jfinan:v:58:y:2003:i:3:p:1301-1327 is not listed on IDEAS
    13. Ronald C. Anderson & David M. Reeb, 2003. "Founding‐Family Ownership and Firm Performance: Evidence from the S&P 500," Journal of Finance, American Finance Association, vol. 58(3), pages 1301-1328, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Coronavirus Disease (COVID-19); Social Network; Stock Returns; Tourism Sector.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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