EconPapers    
Economics at your fingertips  
 

Forecasting commodity prices returns: The role of partial least squares approach

Chufu Wen, Haoyang Zhu and Zhifeng Dai

Energy Economics, 2023, vol. 125, issue C

Abstract: This paper put forwards a novel aligned technical index, which eliminates a common noise component in technical indicators by employing the partial least squares (PLS) method, to investigate the predictability of commodity price returns.

Keywords: Commodity price returns; Partial least squares; Technical indicators; Out-of-sample forecast (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988323003237
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:125:y:2023:i:c:s0140988323003237

DOI: 10.1016/j.eneco.2023.106825

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003237