IDEAS home Printed from https://ideas.repec.org/p/ipg/wpaper/2021-004.html
   My bibliography  Save this paper

Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages

Author

Listed:
  • Julien Chevallier

Abstract

In the Dynamic Conditional Correlation with Mixed Data Sampling (DCC-MIDAS) framework, we scrutinize the correlations between the macro-financial environment and CO2 emissions in the aftermath of the Covid-19 diffusion. The main original idea is that the economy?s lock-down will alleviate part of the greenhouse gases? burden that human activity induces on the environment. We capture the time-varying correlations between U.S. Covid-19 confirmed cases, deaths, and recovered cases that were recorded by the Johns Hopkins Coronavirus Center, on the one hand; U.S. Total Industrial Production Index and Total Fossil Fuels CO2 emissions from the U.S. Energy Information Administration on the other hand. High-frequency data for U.S. stock markets are included with five-minute realized volatility from the Oxford-Man Institute of Quantitative Finance. The DCC-MIDAS approach indicates that Covid-19 confirmed cases and deaths negatively influence the macro-financial variables and CO2 emissions. We quantify the time-varying correlations of CO2 emissions with either Covid-19 confirmed cases or Covid-19 deaths to sharply decrease by ?15% to ?30%. The main takeaway is that we track correlations and reveal a recessionary outlook against the background of the pandemic.

Suggested Citation

  • Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
  • Handle: RePEc:ipg:wpaper:2021-004
    as

    Download full text from publisher

    File URL: https://faculty-research.ipag.edu/wp-content/uploads/recherche/WP/IPAG_WP_2021_004.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Editorial, 2020. "Covid-19 and Climate Change," Journal, Review of Agrarian Studies, vol. 10(1), pages 5-6, January-J.
    2. repec:dau:papers:123456789/6969 is not listed on IDEAS
    3. Topcu, Mert & Gulal, Omer Serkan, 2020. "The impact of COVID-19 on emerging stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    4. Julien Chevallier, 2020. "COVID-19 Pandemic and Financial Contagion," JRFM, MDPI, vol. 13(12), pages 1-25, December.
    5. Hintermann, Beat, 2010. "Allowance price drivers in the first phase of the EU ETS," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 43-56, January.
    6. repec:dau:papers:123456789/6970 is not listed on IDEAS
    7. Mario Gruppe & Tobias Basse & Meik Friedrich & Carsten Lange, 2017. "Interest rate convergence, sovereign credit risk and the European debt crisis: a survey," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 18(4), pages 432-442, August.
    8. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," Energy Economics, Elsevier, vol. 40(C), pages 222-232.
    9. Wegener, Christoph & Kruse, Robinson & Basse, Tobias, 2019. "The walking debt crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 382-402.
    10. Harrison Fell, 2010. "EU-ETS and Nordic Electricity: A CVAR Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-26.
    11. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2008. "Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise," Econometrica, Econometric Society, vol. 76(6), pages 1481-1536, November.
    12. repec:dau:papers:123456789/6790 is not listed on IDEAS
    13. Kamin, Steven B. & DeMarco, Laurie Pounder, 2012. "How did a domestic housing slump turn into a global financial crisis?," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 10-41.
    14. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    15. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
    16. Aatola, Piia & Ollikainen, Markku & Toppinen, Anne, 2013. "Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals," Energy Economics, Elsevier, vol. 36(C), pages 380-395.
    17. Albulescu, Claudiu Tiberiu, 2021. "COVID-19 and the United States financial markets’ volatility," Finance Research Letters, Elsevier, vol. 38(C).
    18. Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2020. "Systemic risk: The impact of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    19. Xu, Qifa & Chen, Lu & Jiang, Cuixia & Yuan, Jing, 2018. "Measuring systemic risk of the banking industry in China: A DCC-MIDAS-t approach," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 13-31.
    20. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
    21. Scott R Baker & Nicholas Bloom & Steven J Davis & Kyle Kost & Marco Sammon & Tasaneeya Viratyosin & Jeffrey Pontiff, 0. "The Unprecedented Stock Market Reaction to COVID-19," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 742-758.
    22. Francis X. Diebold, 2020. "Real-Time Real Economic Activity:Exiting the Great Recession and Entering the Pandemic Recession," PIER Working Paper Archive 20-023, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    23. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    24. Melvin, Michael & Taylor, Mark P., 2009. "The global financial crisis: Causes, threats and opportunities. Introduction and overview," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1243-1245, December.
    25. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    26. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," University of California at Los Angeles, Anderson Graduate School of Management qt9mf223rs, Anderson Graduate School of Management, UCLA.
    27. Julien Chevallier, 2012. "Time-varying correlations in oil, gas and CO 2 prices: an application using BEKK, CCC and DCC-MGARCH models," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4257-4274, November.
    28. Corinne Le Quéré & Robert B. Jackson & Matthew W. Jones & Adam J. P. Smith & Sam Abernethy & Robbie M. Andrew & Anthony J. De-Gol & David R. Willis & Yuli Shan & Josep G. Canadell & Pierre Friedlingst, 2020. "Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement," Nature Climate Change, Nature, vol. 10(7), pages 647-653, July.
    29. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.
    30. 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).
    31. 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).
    32. Lyócsa, Štefan & Molnár, Peter, 2020. "Stock market oscillations during the corona crash: The role of fear and uncertainty," Finance Research Letters, Elsevier, vol. 36(C).
    33. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    34. Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
    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. Rafał Nagaj & Brigita Žuromskaitė, 2021. "Tourism in the Era of Covid-19 and Its Impact on the Environment," Energies, MDPI, vol. 14(7), pages 1-18, April.
    2. Mohamed Yousfi & Abderrazak Dhaoui & Houssam Bouzgarrou, 2021. "Risk Spillover during the COVID-19 Global Pandemic and Portfolio Management," JRFM, MDPI, vol. 14(5), pages 1-29, May.
    3. Shah, Muhammad Ibrahim & Foglia, Matteo & Shahzad, Umer & Fareed, Zeeshan, 2022. "Green innovation, resource price and carbon emissions during the COVID-19 times: New findings from wavelet local multiple correlation analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Fares Almomani & Amera Abdelbar & Sophia Ghanimeh, 2023. "A Review of the Recent Advancement of Bioconversion of Carbon Dioxide to Added Value Products: A State of the Art," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    5. Md. Bokhtiar Hasan & Masnun Mahi & Tapan Sarker & Md. Ruhul Amin, 2021. "Spillovers of the COVID-19 Pandemic: Impact on Global Economic Activity, the Stock Market, and the Energy Sector," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    6. Jawadi, Fredj & Rozin, Philippe & Bourghelle, David, 2023. "Insights into CO2 emissions in Europe in the context of COVID-19: A panel data analysis," International Economics, Elsevier, vol. 173(C), pages 164-174.
    7. Tsai, I-Chun, 2022. "Changes in social behavior and impacts of the COVID-19 pandemic on regional housing markets: Independence and risk," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(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. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    2. Qifa Xu & Junqing Zuo & Cuixia Jiang & Yaoyao He, 2021. "A large constrained time‐varying portfolio selection model with DCC‐MIDAS: Evidence from Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3417-3435, July.
    3. Dai, Peng-Fei & Xiong, Xiong & Duc Huynh, Toan Luu & Wang, Jiqiang, 2022. "The impact of economic policy uncertainties on the volatility of European carbon market," Journal of Commodity Markets, Elsevier, vol. 26(C).
    4. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    5. Jiang, Cuixia & Ding, Xiaoyi & Xu, Qifa & Tong, Yongbo, 2020. "A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    6. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    7. Andrea BUCCI, 2017. "Forecasting Realized Volatility A Review," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 8(2), pages 94-138.
    8. Gong, Yuting & Chen, Qiang & Liang, Jufang, 2018. "A mixed data sampling copula model for the return-liquidity dependence in stock index futures markets," Economic Modelling, Elsevier, vol. 68(C), pages 586-598.
    9. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    10. Qifa Xu & Lu Chen & Cuixia Jiang & Yezheng Liu, 2022. "Forecasting expected shortfall and value at risk with a joint elicitable mixed data sampling model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 407-421, April.
    11. Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
    12. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," Energy Economics, Elsevier, vol. 40(C), pages 222-232.
    13. Jialei Jiang & Eun-Mi Park & Seong-Taek Park, 2021. "The Impact of the COVID-19 on Economic Sustainability—A Case Study of Fluctuation in Stock Prices for China and South Korea," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    14. Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2019. "On the asymmetric impact of macro–variables on volatility," Economic Modelling, Elsevier, vol. 76(C), pages 135-152.
    15. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    16. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    17. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "What explain the short-term dynamics of the prices of CO2 emissions?," Energy Economics, Elsevier, vol. 46(C), pages 122-135.
    18. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    19. Harrison Fell, Beat Hintermann, and Herman Vollebergh, 2015. "Carbon content of electricity futures in Phase II of the EU ETS," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    20. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.

    More about this item

    Keywords

    Covid-19; CO2 emissions; time-varying correlations; macroeconomy; stock markets; DCC MIDAS;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • F30 - International Economics - - International Finance - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ipg:wpaper:2021-004. 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: Ingmar Schumacher (email available below). General contact details of provider: https://edirc.repec.org/data/ipagpfr.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.