Energy transition metals and global sentiment: Evidence from extreme quantiles

Bikramaditya Ghosh, Linh Pham, Mariya Gubareva and Tamara Teplova

Resources Policy, 2023, vol. 86, issue PA

Abstract: This paper examines the quantile connectedness between energy transition metals, defined as those needed for the transition from dirty to clean energy, and global economic and financial sentiment benchmarks. Using data for five metals, - namely, aluminum, cobalt, copper, lithium, and nickel, - and two sentiment indices over 2019–2022, we empirically demonstrate that the US Economic Sentiment Index (ESI) and Societe Generale Global Sentiment Index (SGGSI) are found to be net receivers of shocks across all four extreme quantiles: 0.05, 0.10, 0.90, and 0.95. Thus, it is shown that energy transition metal markets impact global sentiment, especially during stressed periods. We also document that the total connectedness/risk spillovers between clean energy metals and sentiment indices exhibit substantial increase in the extreme quantiles. Moreover, we provide empirical evidence that there is asymmetry in spillovers over time and across quantiles.

Keywords: Energy transition metals; Global sentiment; Quantile connectedness; Quantile vector auto-regression (search for similar items in EconPapers)
JEL-codes: C32 C58 G10 G11 Q31 Q41 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420723008814
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:jrpoli:v:86:y:2023:i:pa:s0301420723008814

DOI: 10.1016/j.resourpol.2023.104170

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).