IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v27y2020ics2214635020301386.html
   My bibliography  Save this article

COVID-19: Media coverage and financial markets behavior—A sectoral inquiry

Author

Listed:
  • Haroon, Omair
  • Rizvi, Syed Aun R.

Abstract

We analyze the relationship between sentiment generated by coronavirus-related news and volatility of equity markets. The ongoing coronavirus outbreak (COVID-19) resulted in unprecedented news coverage and outpouring of opinions in this age of swift propagation of information. Ensuing uncertainty in financial markets leads to heightened volatility in prices. We find that overwhelming panic generated by the news outlets are associated with increasing volatility in the equity markets. Our results for individual economic sectors demonstrate that panic-laden news contributed to a greater extent to volatility in the sectors perceived to be most affected by coronavirus outbreak.

Suggested Citation

  • Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
  • Handle: RePEc:eee:beexfi:v:27:y:2020:i:c:s2214635020301386
    DOI: 10.1016/j.jbef.2020.100343
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635020301386
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2020.100343?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Berry, Thomas D & Howe, Keith M, 1994. "Public Information Arrival," Journal of Finance, American Finance Association, vol. 49(4), pages 1331-1346, September.
    2. Rizvi, Syed Aun R. & Arshad, Shaista, 2018. "Understanding time-varying systematic risks in Islamic and conventional sectoral indices," Economic Modelling, Elsevier, vol. 70(C), pages 561-570.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
    5. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2016. "Intraday volatility interaction between the crude oil and equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 1-13.
    6. Claudiu Tiberiu Albulescu, 2020. "Coronavirus and financial volatility: 40 days of fasting and fear," Working Papers hal-02501814, HAL.
    7. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    8. Joakim Westerlund & Paresh Narayan, 2015. "Testing for Predictability in Conditionally Heteroskedastic Stock Returns," Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 342-375.
    9. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    10. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2018. "A tripartite inquiry into volatility-efficiency-integration nexus - case of emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 143-161.
    11. Yu, Jung-Suk & Hassan, M. Kabir, 2008. "Global and regional integration of the Middle East and North African (MENA) stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 482-504, August.
    12. Su, Zhi & Fang, Tong & Yin, Libo, 2017. "The role of news-based implied volatility among US financial markets," Economics Letters, Elsevier, vol. 157(C), pages 24-27.
    13. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    14. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    15. 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.
    16. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
    17. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    18. Donadelli, Michael & Kizys, Renatas & Riedel, Max, 2017. "Dangerous infectious diseases: Bad news for Main Street, good news for Wall Street?," Journal of Financial Markets, Elsevier, vol. 35(C), pages 84-103.
    19. repec:bla:jfinan:v:53:y:1998:i:2:p:673-699 is not listed on IDEAS
    20. Kaplanski, Guy & Levy, Haim, 2010. "Exploitable Predictable Irrationality: The FIFA World Cup Effect on the U.S. Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 535-553, April.
    21. Groß-Klußmann, Axel & Hautsch, Nikolaus, 2011. "When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 321-340, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali, Mohsin & Alam, Nafis & Rizvi, Syed Aun R., 2020. "Coronavirus (COVID-19) — An epidemic or pandemic for financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    2. 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).
    3. Zhu, Xuehong & Niu, Zibo & Zhang, Hongwei & Huang, Jiaxin & Zuo, Xuguang, 2022. "Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach," Resources Policy, Elsevier, vol. 79(C).
    4. Yener, Coskun & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2023. "Stock Market Responses to COVID-19: The Behaviors of Mean Reversion, Dependence and Persistence," MPRA Paper 117002, University Library of Munich, Germany.
    5. Monika Bolek & Cezary Bolek, 2024. "Covid-19 Data Manipulation and Reaction of Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 137-164, March.
    6. Arshad, Shaista & Rizvi, Syed Aun R. & Haroon, Omair, 2020. "Impact of Brexit vote on the London stock exchange: A sectorial analysis of its volatility and efficiency," Finance Research Letters, Elsevier, vol. 34(C).
    7. Weng, Futian & Zhang, Hongwei & Yang, Cai, 2021. "Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 73(C).
    8. Ben-Ahmed, Kais & Ayadi, Imen & Hamad, Salah Ben, 2022. "COVID-19 impact on digital companies’ stock return: A dynamic data analysis," Finance Research Letters, Elsevier, vol. 46(PA).
    9. Francisco Jareño & Ana Escribano & Zaghum Umar, 2023. "The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    10. Coskun, Yener & Akinsomi, Omokolade & Gil-Alana, Luis A. & Yaya, OlaOIuwa S., 2021. "Stock Market Responses to COVID-19: Mean Reversion, Dependence and Persistence Behaviours," MPRA Paper 109827, University Library of Munich, Germany.
    11. Rizvi, Syed Aun R. & Arshad, Shaista, 2018. "Understanding time-varying systematic risks in Islamic and conventional sectoral indices," Economic Modelling, Elsevier, vol. 70(C), pages 561-570.
    12. Golab, Anna & Bannigidadmath, Deepa & Pham, Thach Ngoc & Thuraisamy, Kannan, 2022. "Economic policy uncertainty and industry return predictability – Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 433-447.
    13. Herjuna Qobush Izzahdi & Ani Wilujeng Suryani, 2023. "COVID-19 Vaccination, Government Strict Policy and Capital Market Volatility: Evidence from ASEAN Countries," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-135.
    14. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    15. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    16. 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).
    17. Andreas Storkenmaier & Martin Wagener & Christof Weinhardt, 2012. "Public information in fragmented markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(2), pages 179-215, June.
    18. Salisu, Afees A. & Gupta, Rangan & Karmakar, Sayar & Das, Sonali, 2022. "Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty," Resources Policy, Elsevier, vol. 75(C).
    19. Apergis, Nicholas & Lau, Chi Keung & Xu, Bing, 2023. "The impact of COVID-19 on stock market liquidity: Fresh evidence on listed Chinese firms," International Review of Financial Analysis, Elsevier, vol. 90(C).
    20. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Quiñoá-Piñeiro, Lara & Pérez-Pico, Ada M., 2022. "US biopharmaceutical companies' stock market reaction to the COVID-19 pandemic. Understanding the concept of the ‘paradoxical spiral’ from a sustainability perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:27:y:2020:i:c:s2214635020301386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.