IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v54y2022i33p3861-3881.html
   My bibliography  Save this article

Impact of national media reporting concerning COVID-19 on stock market in China: empirical evidence from a quantile regression

Author

Listed:
  • Feipeng Zhang
  • Yun Hong
  • Yanhui Jiang
  • Jiayi Yu

Abstract

Using daily data from 20 January 2020 to 31 July 2020, we investigate the impact of national media crisis communication on stock market returns in China by employing the quantile regression method. By using Xinwen Lianbo (新闻联播) as a proxy for national media, we introduce two variables that can capture Xinwen Lianbo’s COVID-19 attention and tone. The results show a significant positive/negative impact of the media’s COVID-19 focus on contemporaneous stock market returns at high/low quantiles of daily returns. The impact of media’s tone toward COVID-19’s impact on contemporaneous daily stock market returns is also negative at low quantiles of daily returns. Xinwen Lianbo’s impact is mainly concentrated in the more contemporaneous overnight return rather than the intraday return. More serious cases of COVID-19 will aggravate (weaken) the impact of the national media’s tone at the lower (higher) quantile of overnight return. Finally, we explain our results by referring to psychology and cognition theory, including mood priming theory, mood as information theory and mood effects on the processing style model.

Suggested Citation

  • Feipeng Zhang & Yun Hong & Yanhui Jiang & Jiayi Yu, 2022. "Impact of national media reporting concerning COVID-19 on stock market in China: empirical evidence from a quantile regression," Applied Economics, Taylor & Francis Journals, vol. 54(33), pages 3861-3881, July.
    • Handle: RePEc:taf:applec:v:54:y:2022:i:33:p:3861-3881
    DOI: 10.1080/00036846.2021.2016591
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2021.2016591
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2021.2016591?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Topcu, Mert & Gulal, Omer Serkan, 2020. "The impact of COVID-19 on emerging stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    2. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    3. Yuan, Yu, 2015. "Market-wide attention, trading, and stock returns," Journal of Financial Economics, Elsevier, vol. 116(3), pages 548-564.
    4. Cheema, Muhammad A. & Nartea, Gilbert V., 2017. "Momentum returns, market states, and market dynamics: Is China different?," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 85-97.
    5. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    6. Calomiris, Charles W. & Mamaysky, Harry, 2019. "How news and its context drive risk and returns around the world," Journal of Financial Economics, Elsevier, vol. 133(2), pages 299-336.
    7. Paul C. Tetlock, 2011. "All the News That's Fit to Reprint: Do Investors React to Stale Information?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1481-1512.
    8. Yao, Shouyu & Wang, Chunfeng & Cui, Xin & Fang, Zhenming, 2019. "Idiosyncratic skewness, gambling preference, and cross-section of stock returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 464-483.
    9. Birz, Gene & Lott Jr., John R., 2011. "The effect of macroeconomic news on stock returns: New evidence from newspaper coverage," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2791-2800, November.
    10. Shehzad, Khurram & Xiaoxing, Liu & Kazouz, Hayfa, 2020. "COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?," Finance Research Letters, Elsevier, vol. 36(C).
    11. Johan Knif & James Kolari & Seppo Pynnönen, 2008. "Stock Market Reaction To Good And Bad Inflation News," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(2), pages 141-166, June.
    12. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
    13. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    14. John M. Griffin & Nicholas H. Hirschey & Patrick J. Kelly, 2011. "How Important Is the Financial Media in Global Markets?," Review of Financial Studies, Society for Financial Studies, vol. 24(12), pages 3941-3992.
    15. Baur, Dirk G., 2013. "The structure and degree of dependence: A quantile regression approach," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 786-798.
    16. Huang, Tzu-Lun, 2018. "The puzzling media effect in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 129-146.
    17. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    18. Coombs, W. Timothy, 2015. "The value of communication during a crisis: Insights from strategic communication research," Business Horizons, Elsevier, vol. 58(2), pages 141-148.
    19. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    20. Casey Dougal & Joseph Engelberg & Diego García & Christopher A. Parsons, 2012. "Journalists and the Stock Market," Review of Financial Studies, Society for Financial Studies, vol. 25(3), pages 639-679.
    21. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    22. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    23. Nartea, Gilbert V. & Kong, Dongmin & Wu, Ji, 2017. "Do extreme returns matter in emerging markets? Evidence from the Chinese stock market," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 189-197.
    24. Koenker, Roger & Zhao, Quanshui, 1996. "Conditional Quantile Estimation and Inference for Arch Models," Econometric Theory, Cambridge University Press, vol. 12(5), pages 793-813, December.
    25. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    26. Jiwei Wang & Kangtao Ye, 2015. "Media Coverage and Firm Valuation: Evidence from China," Journal of Business Ethics, Springer, vol. 127(3), pages 501-511, March.
    27. Claudiu Albulescu, 2020. "Coronavirus and financial volatility: 40 days of fasting and fear," Papers 2003.04005, arXiv.org.
    28. Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
    29. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Rong, Li, 2021. "Asymmetric effect of COVID-19 pandemic on E7 stock indices: Evidence from quantile-on-quantile regression approach," Research in International Business and Finance, Elsevier, vol. 58(C).
    30. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    31. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    32. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    33. 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.
    34. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(1), pages 105-121, February.
    35. Azimli, Asil, 2020. "The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approach," Finance Research Letters, Elsevier, vol. 36(C).
    36. Ftiti, Zied & Ben Ameur, Hachmi & Louhichi, Waël, 2021. "Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market," Economic Modelling, Elsevier, vol. 99(C).
    37. Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Mensi, Walid & Matar, Ali & Saidat, Zaid, 2021. "Does tracking the infectious diseases impact the gold, oil and US dollar returns and correlation? A quantile regression approach," Resources Policy, Elsevier, vol. 74(C).
    38. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
    39. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ammari, Aymen & Chebbi, Kaouther & Ben Arfa, Nouha, 2023. "How does the COVID-19 pandemic shape the relationship between Twitter sentiment and stock liquidity of US firms?," International Review of Financial Analysis, Elsevier, vol. 88(C).

    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. Bonsall, Samuel B. & Green, Jeremiah & Muller, Karl A., 2020. "Market uncertainty and the importance of media coverage at earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    2. Buehlmaier, Matthias M. M. & Zechner, Josef, 2016. "Financial media, price discovery, and merger arbitrage," CFS Working Paper Series 551, Center for Financial Studies (CFS).
    3. Betton, Sandra & Davis, Frederick & Walker, Thomas, 2018. "Rumor rationales: The impact of message justification on article credibility," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 271-287.
    4. Dang, Tung Lam & Dang, Man & Hoang, Luong & Nguyen, Lily & Phan, Hoang Long, 2020. "Media coverage and stock price synchronicity," International Review of Financial Analysis, Elsevier, vol. 67(C).
    5. Aman, Hiroyuki & Moriyasu, Hiroshi, 2017. "Volatility and public information flows: Evidence from disclosure and media coverage in the Japanese stock market," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 660-676.
    6. Elizabeth Blankespoor & Ed deHaan & Christina Zhu, 2018. "Capital market effects of media synthesis and dissemination: evidence from robo-journalism," Review of Accounting Studies, Springer, vol. 23(1), pages 1-36, March.
    7. Saadon, Yossi & Schreiber, Ben Z., 2023. "Newspapers tone and the overnight-intraday stock return anomaly," Journal of Financial Markets, Elsevier, vol. 65(C).
    8. Angelos J. Doukas & Jie (Michael) Guo & Herbert Y. T. Lam & Sarah (Hong) Xiao, 2016. "Media Endorsements of New Product Announcements: A New Marketing Strategy," European Financial Management, European Financial Management Association, vol. 22(3), pages 394-426, June.
    9. Gupta, Kartick & Banerjee, Rajabrata, 2019. "Does OPEC news sentiment influence stock returns of energy firms in the United States?," Energy Economics, Elsevier, vol. 77(C), pages 34-45.
    10. Liang, Qi & Sun, Wenjia & Li, Wenyu & Yu, Fengyan, 2021. "Media effects matter: Macroeconomic announcements in the gold futures market," Economic Modelling, Elsevier, vol. 96(C), pages 1-12.
    11. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    12. Emanuele Bajo & Marco Bigelli & Carlo Raimondo, 2020. "Ownership ties, conflict of interest, and the tone of news," European Financial Management, European Financial Management Association, vol. 26(3), pages 560-578, June.
    13. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "Cross-border portfolio flows and news media coverage," Journal of International Money and Finance, Elsevier, vol. 126(C).
    14. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
    15. Yi Li & Dehua Shen & Pengfei Wang & Wei Zhang, 2021. "Investor reactions to local and overseas news: Evidence from A‐ and H‐shares in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4190-4225, July.
    16. Kamal, Javed Bin & Wohar, Mark, 2023. "Heterogenous responses of stock markets to covid related news and sentiments: Evidence from the 1st year of pandemic," International Economics, Elsevier, vol. 173(C), pages 68-85.
    17. Brandt, Michael W. & Gao, Lin, 2019. "Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 64-94.
    18. Jacobs, Heiko, 2020. "Hype or help? Journalists’ perceptions of mispriced stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 550-565.
    19. Wu, Chen-Hui & Lin, Chan-Jane, 2017. "The impact of media coverage on investor trading behavior and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 151-172.
    20. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.

    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:taf:applec:v:54:y:2022:i:33:p:3861-3881. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.