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Do COVID-19 Incidence and Government Intervention Influence Media Indices?

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  • Steven Buigut and Burcu Kapar

Abstract

The COVID-19 pandemic continues to batter the world economy, strain the limited global health resources and dominate the world media. Even with the emergence of vaccines, there is still a substantial level of uncertainty. The study analyses the effects of COVID-19 incidence, government intervention and level of development on media coverage, and investor sentiments. The study uses daily data from the Ravenpack finance for the period January 2020 to November 2020 for 75 countries. The results show that NPIs increase the media attention, increase panic and depress market sentiment. Furthermore, higher number of COVID-19 cases and deaths affect promote panic and depress sentiment. We also show that a higher human development index increases media coverage, and depresses the sentiment, while a higher level of digital adoption reduces panic and depresses the market sentiment.

Suggested Citation

  • 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.
  • Handle: RePEc:rmk:rmkbae:v:9:y:2022:i:2:p:79-100
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    1. Baek, Seungho & Mohanty, Sunil K. & Glambosky, Mina, 2020. "COVID-19 and stock market volatility: An industry level analysis," Finance Research Letters, Elsevier, vol. 37(C).
    2. Peng-Fei Dai & Xiong Xiong & Zhifeng Liu & Toan Luu Duc Huynh & Jianjun Sun, 2021. "Preventing crash in stock market: The role of economic policy uncertainty during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
    3. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    4. Keane, Michael & Neal, Timothy, 2021. "Consumer panic in the COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 220(1), pages 86-105.
    5. Md. Mahmudul Alam & Haitian Wei & Abu N. M. Wahid, 2021. "COVID‐19 outbreak and sectoral performance of the Australian stock market: An event study analysis," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 482-495, September.
    6. Uddin, Moshfique & Chowdhury, Anup & Anderson, Keith & Chaudhuri, Kausik, 2021. "The effect of COVID – 19 pandemic on global stock market volatility: Can economic strength help to manage the uncertainty?," Journal of Business Research, Elsevier, vol. 128(C), pages 31-44.
    7. Maximilian Ambros & Michael Frenkel & Toan Luu Duc Huynh & Mustafa Kilinc, 2021. "COVID-19 pandemic news and stock market reaction during the onset of the crisis: evidence from high-frequency data," Applied Economics Letters, Taylor & Francis Journals, vol. 28(19), pages 1686-1689, November.
    8. Stuart Soroka & Patrick Fournier & Lilach Nir, 2019. "Cross-national evidence of a negativity bias in psychophysiological reactions to news," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(38), pages 18888-18892, September.
    9. Alexakis, Christos & Eleftheriou, Konstantinos & Patsoulis, Patroklos, 2021. "COVID-19 containment measures and stock market returns: An international spatial econometrics investigation," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    10. Leach, Melissa & MacGregor, Hayley & Scoones, Ian & Wilkinson, Annie, 2021. "Post-pandemic transformations: How and why COVID-19 requires us to rethink development," World Development, Elsevier, vol. 138(C).
    11. C. Michael Hall & Peter Fieger & Girish Prayag & David Dyason, 2021. "Panic Buying and Consumption Displacement during COVID-19: Evidence from New Zealand," Economies, MDPI, vol. 9(2), pages 1-13, April.
    12. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    13. Fredj Jawadi & Abdoulkarim Idi Cheffou & Nabila Jawadi & Hachmi Ben Ameur, 2021. "Conventional and Islamic stock market liquidity and volatility during COVID 19," Applied Economics, Taylor & Francis Journals, vol. 53(60), pages 6944-6963, December.
    14. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    15. Péter Elek & Anikó Bíró & Petra Fadgyas‐Freyler, 2021. "Income gradient of pharmaceutical panic buying at the outbreak of the COVID‐19 pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2312-2320, September.
    16. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    17. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    18. David E. Allen & Michael McAleer & Abhay K. Singh, 2019. "Daily market news sentiment and stock prices," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3212-3235, June.
    19. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
    20. 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).
    21. Robert D. Jagiello & Thomas T. Hills, 2018. "Bad News Has Wings: Dread Risk Mediates Social Amplification in Risk Communication," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2193-2207, October.
    22. Sowmya Subramaniam & Madhumita Chakraborty, 2021. "COVID-19 fear index: does it matter for stock market returns?," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 13(1), pages 40-50, March.
    23. Jinfang Li & Chunpeng Yang, 2017. "The cross-section and time-series effects of individual stock sentiment on stock prices," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4806-4815, October.
    24. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
    25. Blitz, David & Huisman, Rob & Swinkels, Laurens & van Vliet, Pim, 2020. "Media attention and the volatility effect," Finance Research Letters, Elsevier, vol. 36(C).
    26. John Griffith & Mohammad Najand & Jiancheng Shen, 2020. "Emotions in the Stock Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 42-56, January.
    27. Baig, Ahmed S. & Butt, Hassan Anjum & Haroon, Omair & Rizvi, Syed Aun R., 2021. "Deaths, panic, lockdowns and US equity markets: The case of COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    28. Steven Buigut & Burcu Kapar, 2021. "COVID-19 Cases, Media Attention and Social Mood," International Journal of Economics and Financial Issues, Econjournals, vol. 11(4), pages 66-72.
    29. Jia‐Yen Huang & Jin‐Hao Liu, 2020. "Using social media mining technology to improve stock price forecast accuracy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 104-116, January.
    30. Marcel Garz, 2014. "Good news and bad news: evidence of media bias in unemployment reports," Public Choice, Springer, vol. 161(3), pages 499-515, December.
    31. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
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    JEL classification:

    • 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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