Asymmetric and extreme influence of energy price changes on renewable energy stock performance

被引:175
作者
Xia, Tongshui [1 ]
Ji, Qiang [1 ,2 ]
Zhang, Dayong [3 ]
Han, Jinhong [4 ]
机构
[1] Shandong Normal Univ, Business Sch, Jinan 250014, Shandong, Peoples R China
[2] Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
[3] Southwestern Univ Finance & Econ, Res Inst Econ & Management, Chengdu, Sichuan, Peoples R China
[4] Xinjiang Univ Finance & Econ, Sch Accounting, Xinjiang 830012, Peoples R China
基金
中国国家自然科学基金;
关键词
Renewable energy; Fossil energy; Connectedness network; VaR; CLEAN ENERGY; OIL PRICES; CRUDE-OIL; RISK SPILLOVER; VOLATILITY; CONNECTEDNESS; MARKETS; RETURNS; CARBON; DEPENDENCE;
D O I
10.1016/j.jclepro.2019.118338
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Promoting the development of renewable energy has become the key factor to solve the problems of energy and climate change issues. However, its development is largely constrained by the prices of traditional fossil energy. This paper explores the influence of various fossil energy price changes on renewable energy stock returns using a network approach. Specifically, a positive and negative returns network and value-at-risk (VaR) network are constructed separately for identifying the asymmetric and extreme information spillover. Our findings show the fossil energy-renewable energy network system has a relatively high level of interdependence. The electricity market behaves as the major contributor to the changes of renewable energy returns in the returns connectedness network, while oil and coal contribute most to the changes of renewable energy returns in the VaR connectedness network. The dynamic results show that the contributions of fossil energy price changes to renewable energy returns have strong time-varying pattern with high volatility over time. The total connectedness in the positive returns network is slightly stronger than that in the negative returns network for most of the time during our sample period. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 31 条
[21]  
Liu J, 2021, BRIT J MANAGE, V32, P579, DOI [10.1111/1467-8551.12377, 10.1186/s13661-018-1115-7]
[22]   High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets [J].
Luo, Jiawen ;
Ji, Qiang .
ENERGY ECONOMICS, 2018, 76 :424-438
[23]   Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter? [J].
Ma, Yan-Ran ;
Zhang, Dayong ;
Ji, Qiang ;
Pan, Jiaofeng .
ENERGY ECONOMICS, 2019, 81 :536-544
[24]   Wavelet-based test of co-movement and causality between oil and renewable energy stock prices [J].
Reboredo, Juan C. ;
Rivera-Castro, Miguel A. ;
Ugolini, Andrea .
ENERGY ECONOMICS, 2017, 61 :241-252
[25]   Is there dependence and systemic risk between oil and renewable energy stock prices? [J].
Reboredo, Juan C. .
ENERGY ECONOMICS, 2015, 48 :32-45
[26]  
REN21, 2019, REN 2019 GLOB STAT R
[27]   Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies [J].
Sadorsky, Perry .
ENERGY ECONOMICS, 2012, 34 (01) :248-255
[28]   How do fossil energy prices affect the stock prices of new energy companies? Evidence from Divisia energy price index in China's market [J].
Sun, Chuanwang ;
Ding, Dan ;
Fang, Xingming ;
Zhang, Huiming ;
Li, Jianglong .
ENERGY, 2019, 169 :637-645
[29]   Dynamic transmission mechanisms in global crude oil prices: Estimation and implications [J].
Zhang, Dayong ;
Ji, Qiang ;
Kutan, Ali M. .
ENERGY, 2019, 175 (1181-1193) :1181-1193
[30]   Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade [J].
Zhang, Dayong ;
Shi, Min ;
Shi, Xunpeng .
ENERGY ECONOMICS, 2018, 69 :33-41