Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors
Jinghua Wang () and
Geoffrey Ngene ()
Additional contact information
Jinghua Wang: Pacific Lutheran University
Geoffrey Ngene: Mercer University
Review of Quantitative Finance and Accounting, 2018, vol. 51, issue 1, 199-218
Abstract This study investigates the causal dynamics of the U.S. sector price changes and oil price changes using the symmetric nonlinear and asymmetric nonlinear causality tests. We find a unidirectional causality from each sector to the oil market using the Granger and MWald linear causality tests. However, the symmetric nonlinear and asymmetric nonlinear causality for negative price changes tests yield unidirectional causality from the oil to the sector price changes which sharply contrast the evidence using the linear models. We find bidirectional causality using the asymmetric nonlinear test for positive price changes, suggesting temporal, dual and nonlinear information flow during bull markets. Our results from the nonlinear and asymmetric causality tests remain robust after accounting for structural breaks. The empirical findings unravel nonlinear interactions between sector price and oil price changes as well as the importance of signs of changes in the interacting variables, implying oil returns may need to be priced when forecasting sector returns.
Keywords: Sectors; Oil prices; Causality; Symmetric; Asymmetric; Nonlinear (search for similar items in EconPapers)
JEL-codes: C22 C52 G10 G15 Q40 Q43 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11156-017-0668-3 Abstract (text/html)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:rqfnac:v:51:y:2018:i:1:d:10.1007_s11156-017-0668-3
Ordering information: This journal article can be ordered from
Access Statistics for this article
Review of Quantitative Finance and Accounting is currently edited by Cheng-Few Lee
More articles in Review of Quantitative Finance and Accounting from Springer
Bibliographic data for series maintained by Sonal Shukla ().