2017
DOI: 10.1016/j.eneco.2016.10.015
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Wavelet-based test of co-movement and causality between oil and renewable energy stock prices

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Cited by 398 publications
(165 citation statements)
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“…In fact, he shows that oil price increases have a positive effect on company risk, whereas increases in company sales growth reduce systematic risk. Very recently, Reboredo et al (2017) investigate dependence and causal effects between oil price dynamics and renewable energy returns for the period 2006-2015. Through the use of continuous and discrete wavelets and linear and non-linear Granger causality tests, they find evidence of non-linear causality running from renewable energy indices to oil prices, and mixed evidence of causality propagating from oil prices to renewable energy prices.…”
Section: Oil Prices and The Renewable Energy Sectormentioning
confidence: 99%
“…In fact, he shows that oil price increases have a positive effect on company risk, whereas increases in company sales growth reduce systematic risk. Very recently, Reboredo et al (2017) investigate dependence and causal effects between oil price dynamics and renewable energy returns for the period 2006-2015. Through the use of continuous and discrete wavelets and linear and non-linear Granger causality tests, they find evidence of non-linear causality running from renewable energy indices to oil prices, and mixed evidence of causality propagating from oil prices to renewable energy prices.…”
Section: Oil Prices and The Renewable Energy Sectormentioning
confidence: 99%
“…Their results showed that correlation between oil and stock markets tended to be stable in non-shock phases, around zero, but changed due to the shocks of the oil and stock markets and the contagion effect during the 2008 and 2011 was also confirmed empirically. Reboredo et al (2017) examined co-movement and causality between oil and renewable energy stock indices' prices using continuous and discrete wavelets for the period 2006-2015. They found no linear causality at higher frequencies but unidirectional and bidirectional linear causality at lower frequencies.…”
Section: Wavelet Analysis For Relationship Between Oil Price Changes mentioning
confidence: 99%
“…To study the combined performance of using multiple indices (corresponding to ETF), we need to illustrate the dependence structure of the ingredients and then examine the detailed performance of possible portfolios. In the field of energy-related securities investment, scholars use Granger casualty [10], the wavelet-based test [11], and copula models [12] to study the co-movements and volatility spillovers among energy stock prices or indices. However, there is still a gap in the research on combining the ESG index and renewable energy securities as a portfolio.…”
Section: Introductionmentioning
confidence: 99%