EconPapers    
Economics at your fingertips  
 

The tail risk of crude oil Price_Based on EPU and geopolitical risk perspective

Wenbo Jia, Yiqing Lyu and Zixiang Zhu

Resources Policy, 2024, vol. 92, issue C

Abstract: This study investigates the conditional prediction of crude oil price growth rates as a function of geopolitical risk (GPR) and economic policy uncertainty (EPU), characterizing the extreme tail risk characteristics. Utilizing monthly data on crude oil futures price growth rates from 1997 Jan to 2022 Dec, we employ Quantile Regression and Growth at Risk models to capture the heterogeneous and asymmetric effects of GPR and EPU across different quantiles of the oil price distribution. The sample period covers major geopolitical events, economic recessions, and the emergence of new energy sources, providing a comprehensive view of the factors influencing crude oil market dynamics.

Keywords: Crude oil price; Uncertainty; Geopolitical risk; Growth at risk (search for similar items in EconPapers)
JEL-codes: F23 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420724003799
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:92:y:2024:i:c:s0301420724003799

DOI: 10.1016/j.resourpol.2024.105012

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jrpoli:v:92:y:2024:i:c:s0301420724003799