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Dynamic correlations between oil prices and the stock prices of clean energy and technology firms: The role of reserve currency (US dollar)
Affiliation:1. Department of Business Administration, Middle East Technical University, Ankara 06800, Turkey;2. Department of Business Administration, Yalova University, Yalova 77200, Turkey;3. Department of Earth System Science, Middle East Technical University, Ankara 06800, Turkey;1. Department of Economics,Universidade de Santiago de Compostela, Avda. Xoán XXIII s/n, Santiago de Compostela 15782, Spain;2. Post Graduate Programme in Management — PPGA, Unifacs, Rua Dr. José Peroba 251, 41770-235 Salvador, Brazil;3. Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, Universitá di Firenze, Firenze, Italy;1. Department of Economics, Universidade de Santiago de Compostela, Spain;2. Department of Quantitative Analysis, Universidade do Estado do Rio de Janeiro, Brazil;1. School of Economics & Management, Southwest Jiao Tong University, China;2. School of Finance, Southwestern University of Finance and Economics, China
Abstract: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.
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