IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v72y2021icp41-57.html
   My bibliography  Save this article

Does COVID-19 pandemic hurt stock prices of solar enterprises?

Author

Listed:
  • Wei, Runchu
  • Chen, Xia
  • Chang, Chun-Ping

Abstract

This research examines the relationships between stock prices of solar enterprises and the COVID-19 pandemic for 18 enterprises from OECD countries and 3 enterprises from non-OECD countries from January 2, 2020 to March 8, 2021. The empirical results show that there exists a cointegration relationship between the pandemic and solar stock prices. Moreover, the effects of COVID-19 pandemic on solar stock prices exhibit heterogeneity, as the COVID-19 pandemic affects solar stock prices negatively in the full sample and OECD countries, whereas the pandemic negatively affects solar stock prices in both the short run and long run, but the effects are not significant in non-OECD countries. We conduct a series of robustness tests, including changing variables and employing the Markov switching regression for time-series analysis, and the results support our main findings. According to the empirical results, investors should be prudent about investing in solar enterprises, while policymakers should balance pandemic control and maintain economic performance when implementing prevention policies.

Suggested Citation

  • Wei, Runchu & Chen, Xia & Chang, Chun-Ping, 2021. "Does COVID-19 pandemic hurt stock prices of solar enterprises?," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 41-57.
  • Handle: RePEc:eee:ecanpo:v:72:y:2021:i:c:p:41-57
    DOI: 10.1016/j.eap.2021.07.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S031359262100103X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2021.07.011?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. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Rahmiye Figen Ceylan & Burhan Ozkan & Esra Mulazimogullari, 2020. "Historical evidence for economic effects of COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 817-823, August.
    3. Westerlund, Joakim & Edgerton, David L., 2007. "A panel bootstrap cointegration test," Economics Letters, Elsevier, vol. 97(3), pages 185-190, December.
    4. 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).
    5. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    6. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    7. Tonia Warnecke & Ahiteme N. Houndonougbo, 2016. "Let There Be Light: Social Enterprise, Solar Power, and Sustainable Development," Journal of Economic Issues, Taylor & Francis Journals, vol. 50(2), pages 362-372, April.
    8. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    9. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    10. Chien-Chiang Lee & Chun-Ping Chang, 2006. "The Long-Run Relationship Between Defence Expenditures And Gdp In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(4), pages 361-385.
    11. Chun-Ping Chang & Gen-Fu Feng & Mingbo Zheng, 2021. "Government Fighting Pandemic, Stock Market Return, and COVID-19 Virus Outbreak," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(8), pages 2389-2406, June.
    12. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    13. Chang, Chun-Ping & Wen, Jun & Zheng, Mingbo & Dong, Minyi & Hao, Yu, 2018. "Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries," Economic Modelling, Elsevier, vol. 72(C), pages 65-77.
    14. 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).
    15. Breitung, Jörg, 1999. "The local power of some unit root tests for panel data," SFB 373 Discussion Papers 1999,69, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    16. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    17. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    18. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    19. Ozili, Peterson & Arun, Thankom, 2020. "Spillover of COVID-19: Impact on the Global Economy," MPRA Paper 99317, University Library of Munich, Germany.
    20. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    21. Vincenzo Alfano & Salvatore Ercolano, 2020. "The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 509-517, August.
    22. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    23. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    24. Singh, Vikkram & Roca, Eduardo & Li, Bin, 2021. "Effectiveness of policy interventions during financial crises in China and Russia: Lessons for the COVID-19 pandemic," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 253-277.
    25. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    26. Jun Wen & Xiu-Yun Yang & Gen-Fu Feng & Bo Sui & Chun-Ping Chang, 2017. "The comovement between venture capital and innovation in China: what are the implications?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2489-2506, November.
    27. Khandokar Istiak & Apostolos Serletis, 2018. "Economic policy uncertainty and real output: evidence from the G7 countries," Applied Economics, Taylor & Francis Journals, vol. 50(39), pages 4222-4233, August.
    28. Griffiths, S. & Furszyfer Del Rio, D. & Sovacool, B., 2021. "Policy mixes to achieve sustainable mobility after the COVID-19 crisis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    29. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    30. Ashraf, Badar Nadeem, 2020. "Stock markets’ reaction to COVID-19: Cases or fatalities?," Research in International Business and Finance, Elsevier, vol. 54(C).
    31. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    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. Chen, Xia & Zhang, Huimin & Zhao, Xin Xin & Gong, Qiang & Chang, Chun-Ping, 2024. "Do renewable energy investment and financial development mitigate climate change?," Journal of Asian Economics, Elsevier, vol. 93(C).
    2. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

    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. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Kahia, Montassar & Ben Aissa, Mohamed Safouane, 2014. "Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries," MPRA Paper 80776, University Library of Munich, Germany.
    3. Dedeoğlu, Dinçer & Kaya, Hüseyin, 2013. "Energy use, exports, imports and GDP: New evidence from the OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 469-476.
    4. Hdom, Hélde A.D., 2019. "Examining carbon dioxide emissions, fossil & renewable electricity generation and economic growth: Evidence from a panel of South American countries," Renewable Energy, Elsevier, vol. 139(C), pages 186-197.
    5. Hasanov, Fakhri J. & Bulut, Cihan & Suleymanov, Elchin, 2016. "Do population age groups matter in the energy use of the oil-exporting countries?," Economic Modelling, Elsevier, vol. 54(C), pages 82-99.
    6. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.
    7. Kahia, Montassar & Ben Aïssa, Mohamed Safouane & Charfeddine, Lanouar, 2016. "Impact of renewable and non-renewable energy consumption on economic growth: New evidence from the MENA Net Oil Exporting Countries (NOECs)," Energy, Elsevier, vol. 116(P1), pages 102-115.
    8. Fang, Zheng & Chang, Youngho, 2016. "Energy, human capital and economic growth in Asia Pacific countries — Evidence from a panel cointegration and causality analysis," Energy Economics, Elsevier, vol. 56(C), pages 177-184.
    9. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    10. Ciarlone, Alessio, 2011. "Housing wealth effect in emerging economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 399-417.
    11. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    12. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    13. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    14. Liddle, Brantley, 2012. "The importance of energy quality in energy intensive manufacturing: Evidence from panel cointegration and panel FMOLS," Energy Economics, Elsevier, vol. 34(6), pages 1819-1825.
    15. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    16. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
    17. Carlos Alberto Barreto Nieto & Jacobo Campo Robledo, 2012. "Relación a largo plazo entre consumo de energía y PIB en América Latina: Una evaluación empírica con datos panel," Revista Ecos de Economía, Universidad EAFIT, October.
    18. Hakimi, Abdelaziz & Hamdi, Helmi, 2016. "Trade liberalization, FDI inflows, environmental quality and economic growth: A comparative analysis between Tunisia and Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1445-1456.
    19. Pradhan, Rudra P. & Arvin, Mak B. & Norman, Neville R. & Bele, Samadhan K., 2014. "Economic growth and the development of telecommunications infrastructure in the G-20 countries: A panel-VAR approach," Telecommunications Policy, Elsevier, vol. 38(7), pages 634-649.
    20. Nicholas Apergis & Oguzhan Dincer & James E. Payne, 2011. "On the dynamics of poverty and income inequality in US states," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(2), pages 132-143, May.

    More about this item

    Keywords

    COVID-19 pandemic; GRSI; Solar enterprises; Stock price;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    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:ecanpo:v:72:y:2021:i:c:p:41-57. 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: http://www.journals.elsevier.com/economic-analysis-and-policy .

    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.