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COVID‐19, public attention and the stock market

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  • Liao Xu
  • Jilong Chen
  • Xuan Zhang
  • Jing Zhao

Abstract

This paper investigates the impact of coronavirus disease 2019 (COVID‐19) on the Chinese stock market. We show that the COVID‐19 outbreak not only hurts the stock returns but also affects the stock price sensitivity to firm‐specific information. We document heterogeneous effects of the epidemic infection scale and the public attention about the pandemic. The stock market response to firm‐specific information is decelerated (accelerated) by the public attention (infection scale). Moreover, the decreasing (increasing) effect of the public attention (infection scale) on such response is more intensive to positively toned (negatively toned) firm‐specific news articles. Finally, we observe price reversal (momentum) following the public attention (infection scale).

Suggested Citation

  • Liao Xu & Jilong Chen & Xuan Zhang & Jing Zhao, 2021. "COVID‐19, public attention and the stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4741-4756, September.
    • Handle: RePEc:bla:acctfi:v:61:y:2021:i:3:p:4741-4756
    DOI: 10.1111/acfi.12734
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    References listed on IDEAS

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    1. Niels Joachim Gormsen & Ralph S J Koijen & Nikolai Roussanov, 0. "Coronavirus: Impact on Stock Prices and Growth Expectations," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 574-597.
    2. J Anthony Cookson & Joseph E Engelberg & William Mullins & Hui Chen, 0. "Does Partisanship Shape Investor Beliefs? Evidence from the COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 863-893.
    3. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Lu, Zhou, 2020. "The impact of Baidu Index sentiment on the volatility of China's stock markets," Finance Research Letters, Elsevier, vol. 32(C).
    4. Jong-Wha Lee & Warwick J. McKibbin, 2004. "Globalization and Disease: The Case of SARS," Asian Economic Papers, MIT Press, vol. 3(1), pages 113-131.
    5. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
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    Cited by:

    1. D’Augusta, Carlo & Grossetti, Francesco, 2023. "How did Covid-19 affect investors’ interpretation of earnings news? The role of accounting conservatism," Finance Research Letters, Elsevier, vol. 52(C).
    2. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    3. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
    4. Dash, Saumya Ranjan & Maitra, Debasish, 2022. "The COVID-19 pandemic uncertainty, investor sentiment, and global equity markets: Evidence from the time-frequency co-movements," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Hassan, M. Kabir & Hasan, Md. Bokhtiar & Halim, Zairihan Abdul & Maroney, Neal & Rashid, Md. Mamunur, 2022. "Exploring the dynamic spillover of cryptocurrency environmental attention across the commodities, green bonds, and environment-related stocks," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).

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