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Association between the energy and emission prices: An analysis of EU emission trading system

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  • Soliman, Alaa M.
  • Nasir, Muhammad Ali

Abstract

Previous studies have focused on the co-movements between the prices of different types of energy and, to some extent, the co-movements between the energy and financial assets prices, falling short of analysing the co-movements between the different types of energy and emission price. In this study, using the daily data from November 2007–31st October 2017 on quotes of Brent Crude oil and Natural Gas spot returns and quotes of the EU-ETS spots, we employed a time-varying copulas connection function to assess the risk dependency relationship between ETS and energy prices. The results show that there is an asymmetry dependence change rule between ETS, oil and gas spot index, with the correlation of the lower tail significantly higher than that of the upper tail. These findings indicate that, with the use of time-varying SJC Copulas model, economic agents can control investment risk and forecast abnormal fluctuations in oil prices.

Suggested Citation

  • Soliman, Alaa M. & Nasir, Muhammad Ali, 2019. "Association between the energy and emission prices: An analysis of EU emission trading system," Resources Policy, Elsevier, vol. 61(C), pages 369-374.
    • Handle: RePEc:eee:jrpoli:v:61:y:2019:i:c:p:369-374
    DOI: 10.1016/j.resourpol.2018.12.005
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    References listed on IDEAS

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    1. Reboredo, Juan C., 2012. "Modelling oil price and exchange rate co-movements," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 419-440.
    2. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2010. "Analyzing and forecasting volatility spillovers, asymmetries and hedging in major oil markets," Energy Economics, Elsevier, vol. 32(6), pages 1445-1455, November.
    4. Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
    5. Bunn, Derek W. & Fezzi, Carlo, 2007. "Interaction of European Carbon Trading and Energy Prices," Climate Change Modelling and Policy Working Papers 9092, Fondazione Eni Enrico Mattei (FEEM).
    6. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
    7. Derek W. Bunn & Carlo Fezzi, 2007. "Interaction of European Carbon Trading and Energy Prices," Working Papers 2007.63, Fondazione Eni Enrico Mattei.
    8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    9. Jos Sijm & Karsten Neuhoff & Yihsu Chen, 2006. "CO 2 cost pass-through and windfall profits in the power sector," Climate Policy, Taylor & Francis Journals, vol. 6(1), pages 49-72, January.
    10. Aloui, Riadh & Ben Aïssa, Mohamed Safouane & Nguyen, Duc Khuong, 2013. "Conditional dependence structure between oil prices and exchange rates: A copula-GARCH approach," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 719-738.
    11. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    12. Kang, Sang Hoon & Kang, Sang-Mok & Yoon, Seong-Min, 2009. "Forecasting volatility of crude oil markets," Energy Economics, Elsevier, vol. 31(1), pages 119-125, January.
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    More about this item

    Keywords

    C22; O13; P18; P48; Q4; ETS; Emissions trading; EU-ETS spots; Energy prices; Time-varying Copula model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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