Evaluation of cross-quantile dependence and causality between non-ferrous metals and clean energy indexes. (1st July 2020)

• Record Type: Journal Article
• Authors: Yahya, Muhammad; Ghosh, Sajal; Kanjilal, Kakali; Dutta, Anupam; Uddin, Gazi Salah
• Is Part Of: Energy. Volume 202(2020)
• Publication Date: 2020-07-01
• Subjects: Clean energy prices -- Non-ferrous metals -- Cross-quantilogram -- Cross-quantile causality -- Copula; G10 -- G12 -- G15 -- Q21 -- C58; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2020.117777
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: This paper analyzes the cross-quantile dependence and causality between non-ferrous metals and clean energy indices by employing data from November 2003 to May 2019. Specifically, we utilize the time-varying copulas to examine the asymmetric connectedness among the assets. Based on the assessed dependence, we utilize the time-static and time-varying cross-quantilogram approach to evaluate the asymmetric dependence across different quantiles. Finally, we employ a Granger-causality in quantiles analysis to assess the causal relationship across different quantiles of the return distributions of the underlying assets. By utilizing time-varying copulas, we report that the conditional dependence between the assets is time-varying and asymmetric with the potential for tail dependence. Our results from the cross-quantilogram analysis provide further evidence that the interconnectedness is asymmetric across quantiles, and it increases with the increase in lags. In addition, we report that extreme market conditions positively influence the dependence structure. Finally, our findings from Granger-causality in quantiles indicate bidirectional causality among assets that intensifies with the increase in lag order. These findings are important for governmental policies that aim at mitigating the impact of climate change by transforming the global energy landscape towards clean and renewable energy sources. Highlights: Assets considered are non-ferrous metals and clean energy indices. Time-varying copulas, Cross-Quantile dependence and causality in quantiles applied. The assets are time-varying and asymmetric having tail dependence. Bidirectional causality established which intensifies for higher lag orders. Non-ferrous metals are essential for the development of clean energy assets.