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The impact of economic policy uncertainties on the volatility of European carbon market

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  • Dai, Peng-Fei
  • Xiong, Xiong
  • Duc Huynh, Toan Luu
  • Wang, Jiqiang

Abstract

The European Union Emission Trading Scheme is a carbon emission allowance trading system designed by Europe to achieve emission reduction target. The amount of carbon emission caused by production activities is closely related to the socio-economic environment. Therefore, from the perspective of economic policy uncertainty, this article constructs the GARCH-MIDAS-EUEPU and GARCH-MIDAS-GEPU models for investigating the impact of European and global economic policy uncertainty on the volatility of the European carbon market. The results show that both European and global economic policy uncertainty will exacerbate the long-term volatility of European carbon spot return, with the latter having a stronger impact when the change is the same. Moreover, the volatility of the European carbon spot return can be forecasted better by the predictor, global economic policy uncertainty. This research can provide some implications for market managers in grasping carbon market trends and helping participants control the risk of fluctuations in carbon allowances.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jocoma:v:26:y:2022:i:c:s2405851321000416
    DOI: 10.1016/j.jcomm.2021.100208
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    as
    1. Fang, Libing & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 29-36.
    2. Bonenti, Francesca & Oggioni, Giorgia & Allevi, Elisabetta & Marangoni, Giacomo, 2013. "Evaluating the EU ETS impacts on profits, investments and prices of the Italian electricity market," Energy Policy, Elsevier, vol. 59(C), pages 242-256.
    3. Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
    4. Fan, Ying & Jia, Jun-Jun & Wang, Xin & Xu, Jin-Hua, 2017. "What policy adjustments in the EU ETS truly affected the carbon prices?," Energy Policy, Elsevier, vol. 103(C), pages 145-164.
    5. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    6. Colombo, Valentina, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro area?," Economics Letters, Elsevier, vol. 121(1), pages 39-42.
    7. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    8. van Asselt, Harro & Biermann, Frank, 2007. "European emissions trading and the international competitiveness of energy-intensive industries: a legal and political evaluation of possible supporting measures," Energy Policy, Elsevier, vol. 35(1), pages 497-506, January.
    9. 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.
    10. 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.
    11. Peng-Fei Dai & Xiong Xiong & Zhifeng Liu & Toan Luu Duc Huynh & Jianjun Sun, 2021. "Preventing crash in stock market: The role of economic policy uncertainty during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
    12. Ying Fan & Yin-Peng Liu & Jian-Feng Guo, 2016. "How to explain carbon price using market micro-behaviour?," Applied Economics, Taylor & Francis Journals, vol. 48(51), pages 4992-5007, November.
    13. 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.
    14. Jonathan Brogaard & Andrew Detzel, 2015. "The Asset-Pricing Implications of Government Economic Policy Uncertainty," Management Science, INFORMS, vol. 61(1), pages 3-18, January.
    15. 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.
    16. Hossein Asgharian & Ai Jun Hou & Farrukh Javed, 2013. "The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH‐MIDAS Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(7), pages 600-612, November.
    17. Raphael Calel & Antoine Dechezleprêtre, 2016. "Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 173-191, March.
    18. 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.
    19. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    20. repec:dau:papers:123456789/4222 is not listed on IDEAS
    21. repec:dau:papers:123456789/6970 is not listed on IDEAS
    22. Nerger, Gian-Luca & Huynh, Toan Luu Duc & Wang, Mei, 2021. "Which industries benefited from Trump environmental policy news? Evidence from industrial stock market reactions," Research in International Business and Finance, Elsevier, vol. 57(C).
    23. Bryan Kelly & Ľuboš Pástor & Pietro Veronesi, 2016. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," Journal of Finance, American Finance Association, vol. 71(5), pages 2417-2480, October.
    24. Zachmann, Georg & von Hirschhausen, Christian, 2008. "First evidence of asymmetric cost pass-through of EU emissions allowances: Examining wholesale electricity prices in Germany," Economics Letters, Elsevier, vol. 99(3), pages 465-469, June.
    25. Dai, Peng-Fei & Xiong, Xiong & Zhou, Wei-Xing, 2019. "Visibility graph analysis of economy policy uncertainty indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    26. Jianfeng Guo & Fu Gu & Yinpeng Liu & Xi Liang & Jianlei Mo & Ying Fan, 2020. "Assessing the impact of ETS trading profit on emission abatements based on firm-level transactions," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    27. Kara, M. & Syri, S. & Lehtila, A. & Helynen, S. & Kekkonen, V. & Ruska, M. & Forsstrom, J., 2008. "The impacts of EU CO2 emissions trading on electricity markets and electricity consumers in Finland," Energy Economics, Elsevier, vol. 30(2), pages 193-211, March.
    28. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    29. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
    30. 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.
    31. 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.
    32. Jiqiang Wang & Fu Gu & Yingpeng Liu & Ying Fan & Jianfeng Guo, 2020. "An Endowment Effect Study in the European Union Emission Trading Market based on Trading Price and Price Fluctuation," IJERPH, MDPI, vol. 17(9), pages 1-13, May.
    33. Jianfeng Guo & Bin Su & Guang Yang & Lianyong Feng & Yinpeng Liu & Fu Gu, 2018. "How Do Verified Emissions Announcements Affect the Comoves between Trading Behaviors and Carbon Prices? Evidence from EU ETS," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    34. Dai, Peng-Fei & Xiong, Xiong & Zhou, Wei-Xing, 2021. "A global economic policy uncertainty index from principal component analysis," Finance Research Letters, Elsevier, vol. 40(C).
    35. Alberola, Emilie & Chevallier, Julien & Cheze, Benoi^t, 2008. "Price drivers and structural breaks in European carbon prices 2005-2007," Energy Policy, Elsevier, vol. 36(2), pages 787-797, February.
    36. Delarue, Erik & Lamberts, Hans & D’haeseleer, William, 2007. "Simulating greenhouse gas (GHG) allowance cost and GHG emission reduction in Western Europe," Energy, Elsevier, vol. 32(8), pages 1299-1309.
    37. Han Ozsoylev & Jan Werner, 2011. "Liquidity and asset prices in rational expectations equilibrium with ambiguous information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 48(2), pages 469-491, October.
    38. Lutz, Benjamin Johannes, 2016. "Emissions trading and productivity: Firm-level evidence from German manufacturing," ZEW Discussion Papers 16-067, ZEW - Leibniz Centre for European Economic Research.
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    2. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    3. Li, Houjian & Li, Qingman & Huang, Xinya & Guo, Lili, 2023. "Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework," International Review of Financial Analysis, Elsevier, vol. 86(C).
    4. Wang, Jiqiang & Dai, Peng-Fei & Zhang, Xuewen, 2024. "Untangling the entanglement of US monetary policy uncertainty and European natural gas and carbon prices," Energy Economics, Elsevier, vol. 133(C).
    5. Yanping Liu & Bo Yan, 2024. "Spillover effects of carbon, energy, and stock markets considering economic policy uncertainty," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(3), pages 563-591, September.
    6. Liu, Xiaoqin & Wojewodzki, Michal & Cai, Yifei & Sharma, Satish, 2023. "The dynamic relationships between carbon prices and policy uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    7. Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.

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    More about this item

    Keywords

    EU ETS; Carbon market; Global economic policy uncertainty; European economic policy uncertainty; Volatility forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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