Interdependence between renewable-energy and low-carbon stock prices
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Abstract
In the transition to a low-carbon economy, climate-resilient investors may be inclined
to buy renewable-energy or other low-carbon assets. As the diversification benefits of investment
positions in those assets depend on interdependence between their market prices, we explore that
interdependence in the European and USA stock markets. We model the dependence structure using
bivariate copula functions and evaluate price spillovers between those markets using a conditional
quantile dependence approach that accounts for the reciprocal effects of price movements in those
markets under normal and extreme market scenarios. Our empirical evidence for the period
2010–2019 indicates that European renewable-energy and low-carbon stocks co-move; upward
and downward movements in low-carbon asset prices have sizeable effects on renewable-energy
asset prices, and vice versa, although effects are smaller. In contrast, for the USA we find evidence
of non-interdependence, with no significant upward or downward price spillover effects between
renewable-energy and low-carbon stocks. Our empirical findings provide useful insights for the
design of carbon-resilient portfolios and risk management strategies, and also for implementation of
public funding policies to support the transition to a low-carbon economy
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Bibliographic citation
Reboredo, J.C.; Ugolini, A.; Chen, Y. Interdependence Between Renewable-Energy and Low-Carbon Stock Prices. Energies 2019, 12, 4461
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https://doi.org/10.3390/en12234461Sponsors
Financial support from the Agencia Estatal de Investigación (Ministerio de Ciencia, Innovación y
Universidades) is acknowledged for research project RTI2018-100702-B-I00, co-funded by the European Regional
Development Fund (ERDF/FEDER). Juan C. Reboredo acknowledges funding from the Xunta de Galicia for
research project CONSOLIDACIÓN 2019 GRC GI-2060 Análise Económica dos Mercados e Institucións—AEMI
(ED431C 2019/11). Andrea Ugolini acknowledges financial support from the Brazilian National Council for
Scientific and Technological Development (CNPq)
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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)








