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Impact of allowance submissions in European carbon emission markets

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  • Philip, Dennis
  • Shi, Yukun

Abstract

This paper studies the impact of the April allowance submissions mandate under the European Union emission trading scheme (EU ETS) in carbon emission markets. Using intraday order flow data, we test for the cross-market efficiency of spot-futures dynamics and find that the equilibrium level, adjustment speed and no-arbitrage boundaries of the spot and futures relationship shift subsequent to the submission date. In addition, our results show that the allowance submissions affect the price discovery process, with the carbon spot market providing stronger price leadership in the periods before the submission date and the futures market playing the predominant informational role thereafter. Using the heterogeneous autoregressive realized volatility (HAR-RV) model, we also find a change in volatility spillovers before the submission date, particularly from the spot to the futures market. Overall, the results suggest that the April allowance submissions have significant impact on the time series dynamics of spot and futures carbon emission markets.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:finana:v:40:y:2015:i:c:p:27-37
    DOI: 10.1016/j.irfa.2015.05.004
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    Citations

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    Cited by:

    1. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    2. Zhao, Lili & Wen, Fenghua, 2022. "Risk-return relationship and structural breaks: Evidence from China carbon market," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 481-492.
    3. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    4. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    5. Liu, Zhibin & Huang, Shan, 2021. "Carbon option price forecasting based on modified fractional Brownian motion optimized by GARCH model in carbon emission trading," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    6. Guo, Xiaozhu & Huang, Yisu & Liang, Chao & Umar, Muhammad, 2022. "Forecasting volatility of EUA futures: New evidence," Energy Economics, Elsevier, vol. 110(C).
    7. Chevallier, Julien & Goutte, Stéphane & Ji, Qiang & Guesmi, Khaled, 2021. "Green finance and the restructuring of the oil-gas-coal business model under carbon asset stranding constraints," Energy Policy, Elsevier, vol. 149(C).
    8. Julien Chevallier & Stéphane Goutte & Khaled Guesmi, 2019. "Climate finance and the restructuring of the oil-gas-coal business model under carbon asset stranding constraints," Working Papers halshs-02106113, HAL.

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    More about this item

    Keywords

    Carbon allowance submission; Carbon emission markets; EU ETS; Mispricing; Price discovery; Volatility spillovers;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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