Economics at your fingertips  

Geopolitical risk and oil volatility: A new insight

Jing Liu, Feng Ma, Yingkai Tang and Yaojie Zhang

Energy Economics, 2019, vol. 84, issue C

Abstract: Motivated by the importance of geopolitical risk and its possible predictive power for oil volatility, this paper aims to quantitatively investigate the role of geopolitical risk (GPR), especially serious geopolitical risk (GPRS), in forecasting oil volatility. For research purposes, the GARCH-MIDAS model is extended by incorporating GPR and GPRS. Then, the new extensions are examined from the perspectives of both statistical and economic significance. In-sample results show that GPR and GPRS lead to oil market fluctuations, while the out-of-sample results strongly confirm that the GARCH-MIDAS-GPRS model with serious GPR significantly outperforms the GARCH-MIDAS model. Moreover, both GPR and GPRS help gain higher economic returns. In particular, serious geopolitical risk contains useful information for the recent future oil volatility and can provide the best economic gains. Oil market investors and government policymakers should pay more attention to extreme geopolitical events and serious geopolitical risk in the context of risk management and portfolio allocation.

Keywords: Volatility forecasting; Geopolitical risk; Oil market; Model confidence set (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
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:

DOI: 10.1016/j.eneco.2019.104548

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 Haili He ().

Page updated 2020-06-20
Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303433