Commodity prices and GDP growth
Yiqing Ge and
Ke Tang
International Review of Financial Analysis, 2020, vol. 71, issue C
Abstract:
This paper explores the extent to which commodity prices can predict GDP growth rates of various countries using indices of 27 commonly traded commodity futures. Commodity returns can strongly predict the next quarter's GDP growth, while the basis shows a reasonable level of predictive power. Overall, commodity prices can be considered a leading indicator of economic growth; increasing commodity prices and basis values indicate a stronger future economy.
Keywords: GDP growth; Commodity prices; Basis; Predictability (search for similar items in EconPapers)
JEL-codes: E23 E27 F43 G13 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521920301563
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:finana:v:71:y:2020:i:c:s1057521920301563
DOI: 10.1016/j.irfa.2020.101512
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().