The shape of the Treasury yield curve and commodity prices
Yasmeen Bayaa and
Mahmoud Qadan
International Review of Financial Analysis, 2024, vol. 94, issue C
Abstract:
We decompose the U.S. yield curve into three latent factors – the level, slope and curvature – and explore the information content of the yield curve regarding the future evolution in oil, coal, copper, ethanol, gold, heating oil, natural gas, palladium, platinum, silver and zinc prices. Using data from January 1986 to November 2021, we find that the shape of the term structure is very informative about future innovations in these commodities. Results indicate that shocks to the level, which represents long-term expectations about inflation, predict positive (negative) price (volatility) changes. Shocks to the slope and curvature, which are interpreted as part of the business cycle conditions, predict negative price changes. These results are manifested mainly in the period after the financialization era in 2004. Our findings have far-reaching implications for investors, policymakers and firms involved in the mining industry.
Keywords: Coal; Copper; Crude oil; Energy prices; Ethanol; Gold; Heating oil; Interest rates; Natural gas; Palladium; Platinum; Silver; Term structure; Zinc (search for similar items in EconPapers)
JEL-codes: C5 E3 E4 G12 Q43 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521924002436
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:94:y:2024:i:c:s1057521924002436
DOI: 10.1016/j.irfa.2024.103311
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 ().