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

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

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Publication Details

Journal
Australian Journal of Management
Published
2024-12-10
DOI
https://doi.org/10.1177/03128962241293646
Citations
2
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
2.26
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article

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

Abhinava Tripathi, Ravi Raushan Jha, Charu Vadhava
2 citations
Australian Journal of Management
Market Dynamics and Volatility
2.26
article

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

Abhinava Tripathi, Ravi Raushan Jha, Charu Vadhava
article en
2 citations

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

Australian Journal of ManagementVol. 51(1)
Indian Institute of Technology Roorkee (IN), Indian Institute of Technology Kanpur (IN)
Good health and well-being
Openalex Percentile: Top 7%
Market Dynamics and Volatility
2.26
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