IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/121422.html
   My bibliography  Save this paper

Sustainability of Stock Market against COVID-19 Pandemic

Author

Listed:
  • Chin, Lee
  • Foo, Yong Seong
  • Chen, Kong San
  • TAGHIZADEH-HESARY, FARHAD
  • LIN, WOON LEONG

Abstract

This study explored the sustainability of the stock market against the COVID-19 pandemic. The impacts of confirmed COVID-19 cases, COVID-19 deaths, and Movement Control Order (MCO) length on the stock market were examined. The Generalized Method of Moments (GMM) estimator was employed to analyze 57 countries’ weekly data from November 4th 2019 to July 5th 2020. The findings showed that the growth in confirmed COVID-19 cases has a significant negative effect on stock market returns, while the growth in COVID-19 deaths has a negative yet statistically insignificant influence on stock market returns. This study also found a non-linear inverted U-shaped relationship between the MCO period and stock market returns, implying that though the MCO has initial positive influences on the stock market, it negatively impacts the stock market after 5.7 weeks. Thus, this study argues that policy responses to the COVID-19 pandemic provide the most compelling explanation for its unprecedented impact on the sustainability of the stock market. Governments should therefore implement a partial lockdown to avoid deterioration of the national economy. Furthermore, government policies and plans to control the COVID-19 epidemic as well as economic stimulus packages to kickstart the economy play crucial roles in boosting economic growth and revitalizing the stock market.

Suggested Citation

  • Chin, Lee & Foo, Yong Seong & Chen, Kong San & TAGHIZADEH-HESARY, FARHAD & LIN, WOON LEONG, 2022. "Sustainability of Stock Market against COVID-19 Pandemic," MPRA Paper 121422, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:121422
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/121422/1/MPRA_paper_121422.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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. Lay Lian Chuah & Wai Ching Poon & Balachandher Krishnan Guru, 2018. "Uncertainty and Private Investment Decision in Malaysia," Modern Applied Science, Canadian Center of Science and Education, vol. 12(9), pages 1-71, September.
    3. Fama, Eugene F & French, Kenneth R, 2000. "Forecasting Profitability and Earnings," The Journal of Business, University of Chicago Press, vol. 73(2), pages 161-175, April.
    4. Liew, Venus Khim-Sen, 2020. "Abnormal returns on tourism shares in the Chinese stock exchanges amid COVID-19 pandemic," MPRA Paper 107987, University Library of Munich, Germany.
    5. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    6. Ashraf, Badar Nadeem, 2020. "Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    7. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    8. Khalid A. Kheirallah & Belal Alsinglawi & Abdallah Alzoubi & Motasem N. Saidan & Omar Mubin & Mohammed S. Alorjani & Fawaz Mzayek, 2020. "The Effect of Strict State Measures on the Epidemiologic Curve of COVID-19 Infection in the Context of a Developing Country: A Simulation from Jordan," IJERPH, MDPI, vol. 17(18), pages 1-11, September.
    9. R. Gopinathan & S. Raja Sethu Durai, 2019. "Stock market and macroeconomic variables: new evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. HaiYue Liu & Aqsa Manzoor & CangYu Wang & Lei Zhang & Zaira Manzoor, 2020. "The COVID-19 Outbreak and Affected Countries Stock Markets Response," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    12. Brambor, Thomas & Clark, William Roberts & Golder, Matt, 2006. "Understanding Interaction Models: Improving Empirical Analyses," Political Analysis, Cambridge University Press, vol. 14(1), pages 63-82, January.
    13. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    14. Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    15. Haritha P H & Abdul Rishad, 2020. "An empirical examination of investor sentiment and stock market volatility: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
    16. Bui Thi Thu Ha & La Ngoc Quang & Tolib Mirzoev & Nguyen Trong Tai & Pham Quang Thai & Phung Cong Dinh, 2020. "Combating the COVID-19 Epidemic: Experiences from Vietnam," IJERPH, MDPI, vol. 17(9), pages 1-7, April.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Mohamed Boly, 2018. "CO 2 mitigation in developing countries: the role of foreign aid," Working Papers halshs-01740881, HAL.
    2. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    3. Mansor H. Ibrahim, 2018. "Trade–finance complementarity and carbon emission intensity: panel evidence from middle-income countries," Environment Systems and Decisions, Springer, vol. 38(4), pages 489-500, December.
    4. Maksim, Kostiulin, 2024. "The Nonlinear Relationship Between Technological Development and Income Inequality: Evidence from Dynamic Panel Model with Threshold Effect," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 49(3), pages 33-61, September.
    5. Arshad Ali Bhatti & M. Emranul Haque & Denise R. Osborn, 2013. "Is the Growth Effect of Financial Development Conditional on Technological Innovation?," Centre for Growth and Business Cycle Research Discussion Paper Series 188, Economics, The University of Manchester.
    6. Daniel Oto Peralías & Daniel Oto-Peralías & Diego Romero-Ávila, 2012. "Tracing the Link between Government Size and Growth: The Role of Public Sector Quality," EcoMod2012 4015, EcoMod.
    7. Ahsan Kibria & Reza Oladi & Sherzod B. Akhundjanov, 2020. "Foreign direct investment and civil violence in Sub‐Saharan Africa," The World Economy, Wiley Blackwell, vol. 43(4), pages 948-981, April.
    8. Luca J. Uberti & Elodie Douarin, 2023. "The Feminisation U, cultural norms, and the plough," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 5-35, January.
    9. Jérôme Valette, 2018. "Do Migrants Transfer Productive Knowledge Back to Their Origin Countries?," Journal of Development Studies, Taylor & Francis Journals, vol. 54(9), pages 1637-1656, September.
    10. Jeroen Klomp, 2020. "Subsidizing power," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(3), pages 300-321, July.
    11. Gründler, Klaus & Krieger, Tommy, 2016. "Democracy and growth: Evidence from a machine learning indicator," European Journal of Political Economy, Elsevier, vol. 45(S), pages 85-107.
    12. Milan Bednař, 2019. "Political Budget Cycles in the European Union: New Evidence of Fragmentation," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(4), pages 523-547, December.
    13. Johanna Vogel, 2015. "The two faces of R&D and human capital: Evidence from Western European regions," Papers in Regional Science, Wiley Blackwell, vol. 94(3), pages 525-551, August.
    14. Canarella, Giorgio & Miller, Stephen M., 2022. "Firm size, corporate debt, R&D activity, and agency costs: Exploring dynamic and non-linear effects," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    15. Šeho, Mirzet & Ibrahim, Mansor H. & Mirakhor, Abbas, 2021. "Does sectoral diversification of loans and financing improve bank returns and risk in dual-banking systems?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    16. Scheuermeyer, Philipp & Bofinger, Peter, 2016. "Income Distribution and Household Saving: A Non-Monotonic Relationship," VfS Annual Conference 2016 (Augsburg): Demographic Change 145901, Verein für Socialpolitik / German Economic Association.
    17. Gründler, Klaus, 2015. "The vanishing effect of finance on growth," Discussion Paper Series 133, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    18. Eslam A. Hassanein & Nagwa Samak & Salwa Abdelaziz, 2024. "The synergetic effect of economic complexity and governance on quality of life: policy thresholds," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    19. Leone Leonida & Dario Maimone Ansaldo Patti & Pietro Navarra, 2013. "Testing the Political Replacement Effect: A Panel Data Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 785-805, December.
    20. Carlos Usabiaga & E. Macarena Hernández-Salmerón, 2016. "Regional Growth and Convergence in Spain: Is the Decentralization Model Important?," EcoMod2016 9358, EcoMod.

    More about this item

    Keywords

    COVID-19; Movement Control Order; Stock Market Returns; Non-linear; Sustainability;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:pra:mprapa:121422. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.