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The linkages of carbon spot-futures: Evidence from EU-ETS in the Third Phase

  • Hao Chen
  • , Zhixin Liu
  • , Yinpeng Zhang
  • , You Wu*
  • *Corresponding author for this work
  • Beihang University
  • Shenzhen University
  • Beijing Technology and Business University

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the prices selected from European Energy Exchange (EEX) from 2013 to 2018, we investigate the inter-correlation of carbon spot and futures markets. Specifically, we adopt the widely used DCC-GARCH model and VAR-BEKK-GARCH model to conduct a comprehensive analysis on the carbon market, i.e., the dynamic correlation and volatility spillover between carbon spot and carbon futures. Moreover, we develop a hedge strategy based on the VAR-BEKK-GARCH model and calculate the hedging ediectiveness (HE) value to evaluate the strategy performance. The empirical results show that (i) during our sample period, carbon spot and futures markets are highly correlated, (ii) carbon spot overflows to the futures market and vice versa, and (iii) the HE value is equal to 0.9370, indicating a good performance for the hedging strategy. Then, we provide further discussion on the relationship between carbon spot and futures markets by replacing our dataset with the data of phase II. The results do not change our conclusions on the dynamic correlation and volatility spillover. However, the HE value of phase III is higher than that of phase II, which indicates that the carbon futures market of phase III is not only an available market to hedge risk from the contemporaneous carbon spot market but also has a better hedge ediectiveness than phase II.

Original languageEnglish
Article number2517
JournalSustainability (Switzerland)
Volume12
Issue number6
DOIs
StatePublished - 1 Mar 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • DCC-GARCH
  • EU-ETS
  • Hedge risk
  • VAR-BEKK-GARCH
  • Volatility spillover

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