Nonlinear dependence and connectedness between clean/renewable energy sector equity and European emission allowance prices

被引:112
作者
Hanif, Waqas [1 ,2 ]
Hernandez, Jose Arreola
Mensi, Walid [3 ,4 ]
Kang, Sang Hoon [5 ]
Uddin, Gazi Salah [6 ]
Yoon, Seong-Min [7 ]
机构
[1] Zhejiang Gongshang Univ, Sch Math & Stat, Hangzhou, Zhejiang, Peoples R China
[2] COMSATS Univ Islamabad, Dept Management Sci, Attock Campus, Islamabad, Pakistan
[3] Sultan Qaboos Univ, Dept Econ & Finance, Coll Econ & Polit Sci, Muscat, Oman
[4] South Ural State Univ, 76 Lenin Prospekt, Chelyabinsk, Russia
[5] Pusan Natl Univ, Dept Business Adm, Busan, South Korea
[6] Linkoping Univ, Dept Management & Engn, Linkoping, Sweden
[7] Pusan Natl Univ, Dept Econ, 2 Busandaehak Ro 63Beon Gil, Busan 46241, South Korea
基金
新加坡国家研究基金会;
关键词
Renewable energy; European emission allowance; Frequency spillover; Copula; TIME-SERIES; VOLATILITY SPILLOVER; MARKET-EFFICIENCY; CARBON PRICE; CO2; EMISSION; UNIT-ROOT; STOCK; FOSSIL; OIL; COMMODITIES;
D O I
10.1016/j.eneco.2021.105409
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study examines frequency volatility spillovers, connectedness and the nonlinear dependence between the European emission allowance (EUA) prices and renewable energy indices. For this purpose, we use a time-scale spillover index and different copula functions. The results show a dominance of short-term volatility spillovers between carbon prices and renewable energy indices over their long-term counterpart. More importantly, the spillover strength is high between carbon prices and both S&P clean energy and wind energy indices in the short term. Meanwhile, a strong spillover is most pronounced between the clean energy indices and the carbon price in the long term. Furthermore, the carbon price is predominantly the receiver of spillovers from the clean energy indices irrespective of the time horizon. Using dynamic copula, we show positive and dynamic dependence between the carbon prices and both clean and solar indices, whereas an asymmetric tail dependence between carbon prices and renewables, technology and wind indices.
引用
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页数:15
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