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Sentiment and hype of business media topics and stock market returns during the COVID-19 pandemic

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  • Biktimirov, Ernest N.
  • Sokolyk, Tatyana
  • Ayanso, Anteneh

Abstract

We examine COVID-19 related topics discussed in the printed edition of the Wall Street Journal. Using text analytics and topic modeling algorithms, we discover 15 distinct topics and present differences in their sentiment (polarity) and hype (intensity of coverage) trends throughout 2020. Importantly, the hype of the topic, not the sentiment, relates to stock market returns. In particular, the hype scores for Debt market and Financial markets have the strongest positive relation to the stock market performance.

Suggested Citation

  • Biktimirov, Ernest N. & Sokolyk, Tatyana & Ayanso, Anteneh, 2021. "Sentiment and hype of business media topics and stock market returns during the COVID-19 pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    • Handle: RePEc:eee:beexfi:v:31:y:2021:i:c:s2214635021000861
    DOI: 10.1016/j.jbef.2021.100542
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    Cited by:

    1. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
    2. Zhang, Hongwei & Hong, Huojun & Guo, Yaoqi & Yang, Cai, 2022. "Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 267-285.
    3. 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).
    4. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Möller, Rouven & Reichmann, Doron, 2023. "COVID-19 related TV news and stock returns: Evidence from major US TV stations," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 95-109.
    6. Hassan F. Gholipour & Reza Tajaddini & Mohammad Reza Farzanegan, 2023. "Governments’ economic support for households during the COVID-19 pandemic and consumer confidence," Empirical Economics, Springer, vol. 65(3), pages 1253-1272, September.
    7. Steven Buigut and Burcu Kapar, 2022. "Do COVID-19 Incidence and Government Intervention Influence Media Indices?," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 79-100.
    8. Biktimirov, Ernest N. & Biktimirova, Liana E., 2023. "All topics are not created equal: Sentiment and hype of business media topics and the bitcoin market," Economics Letters, Elsevier, vol. 231(C).
    9. Pedro M. Nogueira Reis, 2022. "Determinants of Qualified Investor Sentiment during the COVID-19 Pandemic in North America, Asia, and Europe," Economies, MDPI, vol. 10(6), pages 1-20, June.

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    More about this item

    Keywords

    COVID-19; Media hype; Media sentiment; Stock market; Topic modeling; Text analytics;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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