Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model

Jian Liu (), Ziting Zhang (), Lizhao Yan () and Fenghua Wen ()
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Jian Liu: Changsha University of Science and Technology
Ziting Zhang: Changsha University of Science and Technology
Lizhao Yan: Hunan Normal University
Fenghua Wen: Central South Univerdity

Financial Innovation, 2021, vol. 7, issue 1, 1-19

Abstract: Abstract This study investigates the impact of economic policy uncertainty (EPU) on the volatility of European Union (EU) carbon futures prices and whether it has predictive power for the volatility of carbon futures prices. The GARCH-MIDAS model is applied for evaluating the impact of different EPU indexes on the price volatility of European Union Allowance (EUA) futures. We then compare the predictive power for the volatility of the two GARCH-MIDAS models based on different EPU indexes and six GARCH-type models. Our empirical results show that the GARCH-MIDAS models, which exhibit superior out-of-sample predictive ability, outperform GARCH-type models. The results also indicate that EPU has noticeable effect on the volatility of EUA futures. Specifically, the forecast accuracy of the EU EPU index is significantly higher than that of the global EPU index. Robustness checks further confirm that the EPU index (especially the EPU index of the EU) has strong predictive power for EUA futures prices. Additionally, using the volatility forecasting methods that GARCH-MIDAS models combine with the EPU index, investors can construct their portfolios to realize economic returns.

Keywords: EUA; Economic policy uncertainty; GARCH-MIDAS; Volatility forecasting; Futures (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (42)

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DOI: 10.1186/s40854-021-00292-8

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