Oil price volatility and stock returns in the G7 economies
Elena Maria Diaz,
Juan Carlos Molero and
Fernando Pérez de Gracia ()
Energy Economics, 2016, vol. 54, issue C, 417-430
Abstract:
This study examines the relationship between oil price volatility and stock returns in the G7 economies (Canada, France, Germany, Italy, Japan, the UK and the US) using monthly data for the period 1970 to 2014. In order to measure oil volatility we consider alternative specifications for oil prices (world, nominal and real prices). We estimate a vector autoregressive model with the following variables: interest rates, economic activity, stock returns and oil price volatility taking into account the structural break in the year 1986. We find a negative response of G7 stock markets to an increase in oil price volatility. Results also indicate that world oil price volatility is generally more significant for stock markets than the national oil price volatility.
Keywords: Stock returns; Oil price volatility; G7 economies; Vector autoregressive (VAR) model (search for similar items in EconPapers)
JEL-codes: C40 G12 Q43 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (108) Track citations by RSS feed
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988316000128
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Oil price volatility and stock returns in the G7 economies (2016)
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:54:y:2016:i:c:p:417-430
DOI: 10.1016/j.eneco.2016.01.002
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 ().