Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model
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作者:
Liu, Jian
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机构:
Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R ChinaChangsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China
Liu, Jian
[1
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Zhang, Ziting
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机构:
Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R ChinaChangsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China
Zhang, Ziting
[1
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Yan, Lizhao
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机构:
Hunan Normal Univ, Sch Business, Changsha, Hunan, Peoples R ChinaChangsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China
Yan, Lizhao
[2
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Wen, Fenghua
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Cent South Univ, Business Sch, Changsha, Hunan, Peoples R ChinaChangsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China
Wen, Fenghua
[3
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机构:
[1] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China
[2] Hunan Normal Univ, Sch Business, Changsha, Hunan, Peoples R China
[3] Cent South Univ, Business Sch, Changsha, Hunan, Peoples R China
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.
机构:
Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R ChinaTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
Dai, Peng-Fei
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机构:
Xiong, Xiong
Zhang, Jin
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机构:
China Bohai Bank Co LTD, Tianjin 300012, Peoples R ChinaTianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China