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Do stress and overstatement in the news affect the stock market? Evidence from COVID-19 news in The Wall Street Journal

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  • Carlini, Federico
  • Farina, Vincenzo
  • Gufler, Ivan
  • Previtali, Daniele

Abstract

This study investigated the effect of media coverage on financial markets in response to COVID-19-related news. By collecting data from the United States Centers for Disease Control and Prevention, we study the effect of The Wall Street Journal's coverage and tone on stock markets. In particular, we attempted to measure media overstatements by comparing the number of articles and stress words with the number of COVID-19 cases. We obtained three main findings. First, investors discount macroeconomic news and objective measures of COVID-19. Second, excessive stress in the media tone leads to greater uncertainty and lower returns. Third, these results hold across sectors, although heterogeneity exists. Overall, long periods of high-stress sentiment and uncertainty affect investors more than single-day news.

Suggested Citation

  • Carlini, Federico & Farina, Vincenzo & Gufler, Ivan & Previtali, Daniele, 2024. "Do stress and overstatement in the news affect the stock market? Evidence from COVID-19 news in The Wall Street Journal," International Review of Financial Analysis, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:finana:v:93:y:2024:i:c:s1057521924001108
    DOI: 10.1016/j.irfa.2024.103178
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    as
    1. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Donadelli, Michael & Ferranna, Licia & Gufler, Ivan & Paradiso, Antonio, 2021. "Using past epidemics to estimate the macroeconomic implications of COVID-19: A bad idea!," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 214-224.
    3. Aharon, David Y. & Umar, Zaghum & Aziz, Mukhriz Izraf Azman & Vo, Xuan vinh, 2022. "COVID-19 related media sentiment and the yield curve of G-7 economies," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    4. Bukovina, Jaroslav, 2016. "Social media big data and capital markets—An overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 11(C), pages 18-26.
    5. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    6. Josue Cox & Daniel L. Greenwald & Sydney C. Ludvigson, 2020. "What Explains the COVID-19 Stock Market?," NBER Working Papers 27784, National Bureau of Economic Research, Inc.
    7. Alexander Dyck & Natalya Volchkova & Luigi Zingales, 2008. "The Corporate Governance Role of the Media: Evidence from Russia," Journal of Finance, American Finance Association, vol. 63(3), pages 1093-1135, June.
    8. Benkraiem, Ramzi & Garfatta, Riadh & Lakhal, Faten & Zorgati, Imen, 2022. "Financial contagion intensity during the COVID-19 outbreak: A copula approach," International Review of Financial Analysis, Elsevier, vol. 81(C).
    9. Gunay, Samet, 2021. "Comparing COVID-19 with the GFC: A shockwave analysis of currency markets," Research in International Business and Finance, Elsevier, vol. 56(C).
    10. Hong Ru & Endong Yang & Kunru Zou, 2021. "Combating the COVID-19 Pandemic: The Role of the SARS Imprint," Management Science, INFORMS, vol. 67(9), pages 5606-5615, September.
    11. Cakici, Nusret & Zaremba, Adam, 2021. "Who should be afraid of infections? Pandemic exposure and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    12. Zhang, Weiping & Zhuang, Xintian & Lu, Yang & Wang, Jian, 2020. "Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework," International Review of Financial Analysis, Elsevier, vol. 71(C).
    13. repec:zbw:bofitp:2020_015 is not listed on IDEAS
    14. Ramzi Benkraiem & Riadh Garfatta & Faten Lakhal & Imen Zorgati, 2022. "Financial contagion intensity during the COVID-19 outbreak: A copula approach," Post-Print hal-03638322, HAL.
    15. Blasco, Andrea & Sobbrio, Francesco, 2012. "Competition and commercial media bias," Telecommunications Policy, Elsevier, vol. 36(5), pages 434-447.
    16. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    17. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    18. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    19. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Pandemic-induced fear and stock market returns: Evidence from China," Global Finance Journal, Elsevier, vol. 54(C).
    20. Al Guindy, Mohamed, 2022. "Fear and hope in financial social networks: Evidence from COVID-19," Finance Research Letters, Elsevier, vol. 46(PA).
    21. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    22. 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.
    23. Bai, Chenjiang & Duan, Yuejiao & Fan, Xiaoyun & Tang, Shuai, 2023. "Financial market sentiment and stock return during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 54(C).
    24. 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.
    25. Callen, Jeffrey L. & Fang, Xiaohua, 2015. "Short interest and stock price crash risk," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 181-194.
    26. Szczygielski, Jan Jakub & Bwanya, Princess Rutendo & Charteris, Ailie & Brzeszczyński, Janusz, 2021. "The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets," Finance Research Letters, Elsevier, vol. 43(C).
    27. Neukirchen, Daniel & Engelhardt, Nils & Krause, Miguel & Posch, Peter N., 2022. "Firm efficiency and stock returns during the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 44(C).
    28. 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.
    29. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    30. Seungho Baek & Kwan Yong Lee, 2021. "The risk transmission of COVID-19 in the US stock market," Applied Economics, Taylor & Francis Journals, vol. 53(17), pages 1976-1990, April.
    31. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    32. Roman Kräussl & Elizaveta Mirgorodskaya, 2017. "Media, sentiment and market performance in the long run," The European Journal of Finance, Taylor & Francis Journals, vol. 23(11), pages 1059-1082, September.
    33. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    34. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    35. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    36. Delis, Manthos D. & Savva, Christos S. & Theodossiou, Panayiotis, 2021. "The impact of the coronavirus crisis on the market price of risk," Journal of Financial Stability, Elsevier, vol. 53(C).
    37. John, Kose & Li, Jingrui, 2021. "COVID-19, volatility dynamics, and sentiment trading," Journal of Banking & Finance, Elsevier, vol. 133(C).
    38. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    39. Baron, David P., 2006. "Persistent media bias," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 1-36, January.
    40. Díaz, Fernando & Henríquez, Pablo A. & Winkelried, Diego, 2022. "Stock market volatility and the COVID-19 reproductive number," Research in International Business and Finance, Elsevier, vol. 59(C).
    41. 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.
    42. 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).
    43. 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.
    44. Bianchi, Nicola & Carretta, Alessandro & Farina, Vincenzo & Fiordelisi, Franco, 2021. "Does espoused risk culture pay? Evidence from European banks," Journal of Banking & Finance, Elsevier, vol. 122(C).
    45. 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.
    46. Umar, Zaghum & Adekoya, Oluwasegun Babatunde & Oliyide, Johnson Ayobami & Gubareva, Mariya, 2021. "Media sentiment and short stocks performance during a systemic crisis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    47. Mazur, Mieszko & Dang, Man & Vega, Miguel, 2021. "COVID-19 and the march 2020 stock market crash. Evidence from S&P1500," Finance Research Letters, Elsevier, vol. 38(C).
    48. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
    49. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    50. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).
    51. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    52. Laura Alfaro & Anusha Chari & Andrew N. Greenland & Peter K. Schott, 2020. "Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time," NBER Working Papers 26950, National Bureau of Economic Research, Inc.
    53. Kostopoulos, Dimitrios & Meyer, Steffen & Uhr, Charline, 2020. "Google search volume and individual investor trading," Journal of Financial Markets, Elsevier, vol. 49(C).
    54. Duan, Yuejiao & Liu, Lanbiao & Wang, Zhuo, 2021. "COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo," Research in International Business and Finance, Elsevier, vol. 58(C).
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    More about this item

    Keywords

    COVID-19; Stock markets; Media sentiment;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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