Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil
Mohamad Abdelaziz Eissa and
Hisham Al Refai
Resources Policy, 2019, vol. 64, issue C
Abstract:
This study, using linear and nonlinear Autoregressive Distributed Lag (ARDL) Models, investigates the dynamic linkages between oil prices and agricultural commodities. The results from the linear model show that barley, corn and rapeseed oil do not in the long run co-move with oil prices. When we use the nonlinear ARDL Model to overcome the symmetry problem and re-estimate the dynamic relationship, our results show that barley, corn and rapeseed oil co-move with oil prices in the long run; thus, the nonlinear ARDL better specifies the dynamic relationship. The effects of the dynamic multipliers show that barley, corn, and rapeseed oil prices respond rapidly and strongly to the cyclical downturns of oil prices in the short run, but fully adjust to the new equilibrium when the process is relatively prolonged.
Keywords: Nonlinear ARDL; Agricultural commodities; Oil prices; Asymmetric cointegration (search for similar items in EconPapers)
JEL-codes: C32 C58 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030142071930460X
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:64:y:2019:i:c:s030142071930460x
DOI: 10.1016/j.resourpol.2019.101511
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 ().