What has the strongest connectedness with clean energy? Technology, substitutes, or raw materials
Xianfang Su and
Yachao Zhao
Energy Economics, 2023, vol. 128, issue C
Abstract:
This paper examines the connectedness of clean energy with technology, substitutes (crude oil and natural gas), and raw materials (silver, platinum, copper, corn, and soybean). This is conducted from a systemic perspective, using the quantile time–frequency connectedness approach. The results reveal that clean energy and technology stocks demonstrate the strongest pairwise connectedness across all quantile levels in the short, medium, and long terms. Meanwhile, fossil energy commodities (as substitutes) and metal and agricultural commodities (as raw materials) exhibit relatively intensive connectedness, with clean energy stocks only at the lower and upper quantiles in the short term. Furthermore, connectedness among the markets under examination is significantly enhanced during periods of financial turmoil, as was the case during the European debt crisis and the COVID-19 pandemic. Finally, the minimum connectedness portfolio analysis indicates that natural gas futures offer the highest hedge effectiveness, and technology stocks offer the lowest hedge effectiveness across frequencies and quantiles. This finding suggests that optimal portfolios will have a larger proportion of natural gas futures. These findings have significant implications for both investors and policymakers.
Keywords: Clean energy; Technology; Connectedness; Quantile time–frequency; Portfolio analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988323006679
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006679
DOI: 10.1016/j.eneco.2023.107169
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().