Published September 2021 | Version v1
Journal article

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

  • 1. Department of Management Sciences, COMSATS University Islamabad, Attock Campus (Pakistan)
  • 2. School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, Zhejiang (China)
  • 3. Independent Researcher, Los Angeles, CA (United States)
  • 4. South Ural State University, 76, Lenin Prospekt, Chelyabinsk (Russian Federation)
  • 5. Department of Economics and Finance, College of Economics and Political Science, Sultan Qaboos University, Muscat (Oman)
  • 6. Department of Business Administration, Pusan National University, Busan (Korea, Republic of)
  • 7. Department of Management and Engineering, Linköping University, Linköping (Sweden)
  • 8. Department of Economics, Pusan National University, Busan (Korea, Republic of)

Description

Highlights: • Connectedness spillovers and nonlinear dependence between EUA price and clean/renewable energy indices are explored. • Time-frequency spillover index and time-varying parameter copula approaches are employed. • Connectedness spillovers between EUA price and renewable energy indices are stronger in the short term. • In the short term, the S&P Global Clean Energy and Global Wind Energy indices most strongly spillover on the EUA price. • EUA price is symmetrically related, i.e., in the centre and in the tails, with the renewable energy indices. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2021.105409

Additional details

Identifiers

DOI
10.1016/j.eneco.2021.105409;
PII
S0140988321003066;

Publishing Information

Journal Title
Energy Economics
Journal Volume
101
Journal Page Range
vp.
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53108118
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S17: WIND ENERGY;
Descriptors DEI
ASYMMETRY; CARBON; EMISSION; NONLINEAR PROBLEMS; PRICES; WIND POWER
Descriptors DEC
ELEMENTS; ENERGY SOURCES; NONMETALS; POWER; RENEWABLE ENERGY SOURCES

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.