Dynamic correlations between oil prices and the stock prices of clean energy and technology firms: The role of reserve currency (US dollar)

被引:87
|
作者
Kocaarslan, Baris [1 ,2 ]
Soytas, Ugur [1 ,3 ]
机构
[1] Middle East Tech Univ, Dept Business Adm, TR-06800 Ankara, Turkey
[2] Yalova Univ, Dept Business Adm, TR-77200 Yalova, Turkey
[3] Middle East Tech Univ, Dept Earth Syst Sci, TR-06800 Ankara, Turkey
关键词
Clean energy stock prices; Oil prices; ARDL model; Asymmetric dynamic conditional correlations; Reserve currency (US dollar); UNIT-ROOT; CRUDE-OIL; CONDITIONAL HETEROSKEDASTICITY; EXCHANGE-RATE; MARKET; TESTS; RETURNS; VOLATILITY; CONTAGION; COINTEGRATION;
D O I
10.1016/j.eneco.2019.104502
中图分类号
F [经济];
学科分类号
02 ;
摘要
There is increased interest in the dynamic relationships between the stock prices of clean energy and technology firms and oil prices in the literature. Existing works suggest a time-dependent link between them, but there is a gap of knowledge regarding the drivers of this time-dependent relationship. To contribute to this literature, we first identify dynamic conditional correlations (DCCs) between the prices of clean energy and technology stocks and oil prices to investigate the nature of these dynamic correlations. Our findings suggest the existence of significant asymmetric effects in the DCCs. Using the autoregressive distributed lag (ARDL) model, we then investigate the impact of reserve currency (US dollar) value changes on the DCCs while also controlling for business cycles, monetary conditions, and financial stress. Our results highlight the dominant role of US dollar appreciations in driving the DCCs. This role intensifies when asymmetric impacts are taken into account The implications of this study are important for clean energy investments and for optimal risk management strategies in the energy and financial markets. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页数:11
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