IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v51y2026i1p22-61.html

Pricing efficiency of European carbon futures market during the COVID-19 pandemic

Author

Listed:
  • Abhinava Tripathi

    (Department of Management Sciences, Indian Institute of Technology Kanpur, Kanpur, India)

  • Charu Vadhava
  • Ravi Raushan Jha

    (Department of Management Studies, Indian Institute of Technology Roorkee, Roorkee, India)

Abstract

We investigate the effects of the COVID-19 pandemic on the efficiency of the European Union Emission Trading Scheme (EU-ETS). This study provides one of the first accounts of the pricing efficiency of EU-ETS around the final leg of its Phase (III) implementation. The study documents that the EU-ETS futures prices become informationally efficient at extremely short horizons (5–30 minutes) that are comparable to mature conventional markets. These results are robust to three methods, namely, ordinary least squares (OLS) autoregression, quantile autoregression, and variance ratio tests. Moreover, the EU-ETS futures prices impound the information content of economic activity in the major European markets at an extremely fast pace (5–30 minutes). The dynamic correlations obtained from the DCC-GARCH method suggest that the linkages between EU-ETS and economic activity remain intact, even when the effect of the pandemic is most severe. Overall, these results indicate that EU-ETS has substantially attained its stated objectives related to pricing efficiency. JEL classification: Q51, Q54, G14, G01, G10

Suggested Citation

  • Abhinava Tripathi & Charu Vadhava & Ravi Raushan Jha, 2026. "Pricing efficiency of European carbon futures market during the COVID-19 pandemic," Australian Journal of Management, Australian School of Business, vol. 51(1), pages 22-61, February.
  • Handle: RePEc:sae:ausman:v:51:y:2026:i:1:p:22-61
    DOI: 10.1177/03128962241293646
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/03128962241293646
    Download Restriction: no

    File URL: https://libkey.io/10.1177/03128962241293646?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
    ---><---

    References listed on IDEAS

    as
    1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    2. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    3. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    4. Philip, Dennis & Shi, Yukun, 2015. "Impact of allowance submissions in European carbon emission markets," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 27-37.
    5. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    6. Stefania D'Amico & Mira Farka, 2011. "The Fed and the Stock Market: An Identification Based on Intraday Futures Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 126-137, January.
    7. Elenev, Vadim & Law, Tzuo-Hann & Song, Dongho & Yaron, Amir, 2024. "Fearing the Fed: How wall street reads main street," Journal of Financial Economics, Elsevier, vol. 153(C).
    8. Chevallier, Julien, 2011. "Detecting instability in the volatility of carbon prices," Energy Economics, Elsevier, vol. 33(1), pages 99-110, January.
    9. Wen, Fenghua & Zhao, Lili & He, Shaoyi & Yang, Guozheng, 2020. "Asymmetric relationship between carbon emission trading market and stock market: Evidences from China," Energy Economics, Elsevier, vol. 91(C).
    10. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    11. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    12. Mustafa Babiker & John Reilly & Laurent Viguier, 2004. "Is International Emissions Trading Always Beneficial?," The Energy Journal, , vol. 25(2), pages 33-56, April.
    13. Chen, Yu-Lun & Gau, Yin-Feng, 2010. "News announcements and price discovery in foreign exchange spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1628-1636, July.
    14. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    15. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
    16. Richardson, Matthew & Smith, Tom, 1991. "Tests of Financial Models in the Presence of Overlapping Observations," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 227-254.
    17. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    18. Hitzemann, Steffen & Uhrig-Homburg, Marliese & Ehrhart, Karl-Martin, 2015. "Emission permits and the announcement of realized emissions: Price impact, trading volume, and volatilities," Energy Economics, Elsevier, vol. 51(C), pages 560-569.
    19. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    20. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    21. repec:eme:mfppss:mf-08-2019-0396 is not listed on IDEAS
    22. Xu, Lin & Wu, Chenyang & Qin, Quande & Lin, Xiaoying, 2022. "Spillover effects and nonlinear correlations between carbon emissions and stock markets: An empirical analysis of China's carbon-intensive industries," Energy Economics, Elsevier, vol. 111(C).
    23. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    24. Jessica A Wachter & Yicheng Zhu, 2022. "A Model of Two Days: Discrete News and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2246-2307.
    25. 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.
    26. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
    27. Abhinava Tripathi & Alok Dixit, 2023. "Global Component of Sentiment in Futures Markets: Evidence from Covid-19 Pandemic," American Business Review, Pompea College of Business, University of New Haven, vol. 26(2), pages 355-384.
    28. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    29. Bredin, Don & Hyde, Stuart & Muckley, Cal, 2014. "A microstructure analysis of the carbon finance market," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 222-234.
    30. Elder, John & Miao, Hong & Ramchander, Sanjay, 2012. "Impact of macroeconomic news on metal futures," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 51-65.
    31. Paolella, Marc S. & Taschini, Luca, 2008. "An econometric analysis of emission allowance prices," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2022-2032, October.
    32. repec:aen:journl:2004v25-02-a02 is not listed on IDEAS
    33. David O. Lucca & Emanuel Moench, 2015. "The Pre-FOMC Announcement Drift," Journal of Finance, American Finance Association, vol. 70(1), pages 329-371, February.
    34. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    35. Savor, Pavel & Wilson, Mungo, 2013. "How Much Do Investors Care About Macroeconomic Risk? Evidence from Scheduled Economic Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 343-375, April.
    36. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    37. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    38. Bredin, Don & Muckley, Cal, 2011. "An emerging equilibrium in the EU emissions trading scheme," Energy Economics, Elsevier, vol. 33(2), pages 353-362, March.
    39. Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
    40. Balduzzi, Pierluigi & Moneta, Fabio, 2017. "Economic Risk Premia in the Fixed-Income Markets: The Intraday Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(5), pages 1927-1950, October.
    41. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    42. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    43. repec:dau:papers:123456789/5110 is not listed on IDEAS
    44. Rittler, Daniel, 2012. "Price discovery and volatility spillovers in the European Union emissions trading scheme: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 774-785.
    45. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    46. Faust, Jon & Rogers, John H. & Wang, Shing-Yi B. & Wright, Jonathan H., 2007. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1051-1068, May.
    47. repec:dau:papers:123456789/10174 is not listed on IDEAS
    48. Suleman, Muhammad Tahir & Rehman, Mobeen Ur & Sheikh, Umaid A. & Kang, Sang Hoon, 2023. "Dynamic time-frequency connectedness between European emissions trading system and sustainability markets," Energy Economics, Elsevier, vol. 123(C).
    49. Hu, Grace Xing & Pan, Jun & Wang, Jiang & Zhu, Haoxiang, 2022. "Premium for heightened uncertainty: Explaining pre-announcement market returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 909-936.
    50. Viteva, Svetlana & Veld-Merkoulova, Yulia V. & Campbell, Kevin, 2014. "The forecasting accuracy of implied volatility from ECX carbon options," Energy Economics, Elsevier, vol. 45(C), pages 475-484.
    51. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    52. Cieslak, Anna & Schrimpf, Andreas, 2019. "Non-monetary news in central bank communication," Journal of International Economics, Elsevier, vol. 118(C), pages 293-315.
    53. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    54. Gardner, Ben & Scotti, Chiara & Vega, Clara, 2022. "Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements," Journal of Econometrics, Elsevier, vol. 231(2), pages 387-409.
    55. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    56. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    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. Bernile, Gennaro & Hu, Jianfeng & Tang, Yuehua, 2016. "Can information be locked up? Informed trading ahead of macro-news announcements," Journal of Financial Economics, Elsevier, vol. 121(3), pages 496-520.
    2. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    3. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.
    4. Cyril May & Greg Farrell & Jannie Rossouw, 2018. "Do Monetary Policy Announcements Affect Exchange Rate Returns and Volatility of Returns? Some Evidence from High‐Frequency Intra‐Day South African Data," South African Journal of Economics, Economic Society of South Africa, vol. 86(3), pages 308-338, September.
    5. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    6. Gómez-Cram, Roberto & Grotteria, Marco, 2022. "Real-time price discovery via verbal communication: Method and application to Fedspeak," Journal of Financial Economics, Elsevier, vol. 143(3), pages 993-1025.
    7. Indriawan, Ivan & Jiao, Feng & Tse, Yiuman, 2021. "The FOMC announcement returns on long-term US and German bond futures," Journal of Banking & Finance, Elsevier, vol. 123(C).
    8. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    9. Bianchi, Francesco & Gómez-Cram, Roberto & Kind, Thilo & Kung, Howard, 2023. "Threats to central bank independence: High-frequency identification with twitter," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 37-54.
    10. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2022. "Interest Rate Surprises: A Tale of Two Shocks," Working Papers 2213, Federal Reserve Bank of Dallas.
    11. Chulia-Soler, H. & Martens, M.P.E. & van Dijk, D.J.C., 2007. "The Effects of Federal Funds Target Rate Changes on S&P100 Stock Returns, Volatilities, and Correlations," ERIM Report Series Research in Management ERS-2007-066-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Corsetti, Giancarlo & Lafarguette, Romain & Mehl, Arnaud, 2019. "Fast trading and the virtue of entropy: evidence from the foreign exchange market," Working Paper Series 2300, European Central Bank.
    13. Rubén Fernández-Fuertes, 2025. "Monetary Policy Shocks: A New Hope. Large Language Models and Central Bank Communication," BAFFI CAREFIN Working Papers 25257, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    15. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    16. Gardner, Ben & Scotti, Chiara & Vega, Clara, 2022. "Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements," Journal of Econometrics, Elsevier, vol. 231(2), pages 387-409.
    17. Camila Gutierrez & Javier Turen & Alejandro Vicondoa, 2025. "Global Financial Spillovers of Chinese Macroeconomic Surprises," IMF Working Papers 2025/133, International Monetary Fund.
    18. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    19. Andreas Neuhierl & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," NBER Working Papers 22831, National Bureau of Economic Research, Inc.
    20. Golez, Benjamin & Matthies, Ben, 2025. "Fed information effects: Evidence from the equity term structure," Journal of Financial Economics, Elsevier, vol. 165(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:sae:ausman:v:51:y:2026:i:1:p:22-61. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.