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Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market

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  • Ftiti, Zied
  • Ben Ameur, Hachmi
  • Louhichi, Waël

Abstract

The COVID-19 outbreak generates various types of news that affect economic and financial systems. No studies have assessed the effects of such news on financial markets. This study sheds light on the impact of non-fundamental news related to the COVID-19 pandemic on the liquidity and returns volatility. Because we examined extreme events, we performed quantile regression on daily data from December 31, 2019 to the end of lockdown restrictions in China on April 7, 2020. Results showed that the non-fundamental news, as the number of deaths and cases related to the COVID-19, raised the stock market returns volatility and reduced the level of stock market liquidity, increasing overall risk, whereas fundamental macroeconomic news remained largely immaterial for the stock market. These findings are explained by a knock-on effect because the health system’s inability to manage and treat a high number of COVID-19 patients in intensive care led the country to implement a lockdown and the global economy to largely shut down.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecmode:v:99:y:2021:i:c:s0264999321000675
    DOI: 10.1016/j.econmod.2021.03.003
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    as
    1. Berliner, Lauren S. & Kenworthy, Nora J., 2017. "Producing a worthy illness: Personal crowdfunding amidst financial crisis," Social Science & Medicine, Elsevier, vol. 187(C), pages 233-242.
    2. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    3. Seong, Byeongchan & Lee, Kiseop, 2021. "Intervention analysis based on exponential smoothing methods: Applications to 9/11 and COVID-19 effects," Economic Modelling, Elsevier, vol. 98(C), pages 290-301.
    4. Chad Cotti & Richard A. Dunn & Nathan Tefft, 2015. "The Dow is Killing Me: Risky Health Behaviors and the Stock Market," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 803-821, July.
    5. Braun, Alexander & Ben Ammar, Semir & Eling, Martin, 2019. "Asset pricing and extreme event risk: Common factors in ILS fund returns," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 59-78.
    6. Semir Ben Ammar, 2020. "Catastrophe Risk and the Implied Volatility Smile," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 381-405, June.
    7. Jones, Charles M. & Lamont, Owen & Lumsdaine, Robin L., 1998. "Macroeconomic news and bond market volatility," Journal of Financial Economics, Elsevier, vol. 47(3), pages 315-337, March.
    8. repec:wly:hlthec:v:25:y:2016:i::p:43-56 is not listed on IDEAS
    9. Giulietti, Corrado & Tonin, Mirco & Vlassopoulos, Michael, 2020. "When the market drives you crazy: Stock market returns and fatal car accidents," Journal of Health Economics, Elsevier, vol. 70(C).
    10. Singh, Amanjot, 2021. "Investigating the dynamic relationship between litigation funding, gold, bitcoin and the stock market: The case of Australia," Economic Modelling, Elsevier, vol. 97(C), pages 45-57.
    11. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    12. Lars Forsberg & Eric Ghysels, 2007. "Why Do Absolute Returns Predict Volatility So Well?," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 31-67.
    13. Arna Olafsson, 2016. "Household Financial Distress and Initial Endowments: Evidence from the 2008 Financial Crisis," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 43-56, November.
    14. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    15. Fredj Jawadi, Waël Louhichi, Hachmi Ben Ameur, and Zied Ftiti, 2019. "Do Jumps and Co-jumps Improve Volatility Forecasting of Oil and Currency Markets?," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    16. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    17. Chen, Chun-Chih & Chen, Chin-Shyan & Liu, Tsai-Ching & Lin, Ying-Tzu, 2012. "Stock or stroke? Stock market movement and stroke incidence in Taiwan," Social Science & Medicine, Elsevier, vol. 75(11), pages 1974-1980.
    18. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    19. 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.
    20. Marc Gürtler & Martin Hibbeln & Christine Winkelvos, 2016. "The Impact of the Financial Crisis and Natural Catastrophes on CAT Bonds," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 579-612, September.
    21. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    22. repec:zbw:bofitp:2020_012 is not listed on IDEAS
    23. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(1), pages 105-121, February.
    24. Özatay, Fatih & Özmen, Erdal & Sahinbeyoglu, Gülbin, 2009. "Emerging market sovereign spreads, global financial conditions and U.S. macroeconomic news," Economic Modelling, Elsevier, vol. 26(2), pages 526-531, March.
    25. Dirk Brounen & Jeroen Derwall, 2010. "The Impact of Terrorist Attacks on International Stock Markets," European Financial Management, European Financial Management Association, vol. 16(4), pages 585-598, September.
    26. Funke, Michael & Tsang, Andrew, 2020. "The People’s bank of China’s response to the coronavirus pandemic: A quantitative assessment," Economic Modelling, Elsevier, vol. 93(C), pages 465-473.
    27. Augier, Laurent & Yaly, Amy, 2013. "Economic growth and disease in the OLG model: The HIV/AIDS case," Economic Modelling, Elsevier, vol. 33(C), pages 471-481.
    28. Joseph Engelberg & Christopher A. Parsons, 2016. "Worrying about the Stock Market: Evidence from Hospital Admissions," Journal of Finance, American Finance Association, vol. 71(3), pages 1227-1250, June.
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    More about this item

    Keywords

    COVID-19; Pandemic news; Stock market; Liquidity;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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