World Oil and Inventory Study: A Global VAR Analysis

Jennifer Considine, Abdullah Aldayel and Emre Hatipoglu

Methodology Papers from King Abdullah Petroleum Studies and Research Center

Abstract: Despite numerous journal articles, forecasting studies, and books, very little is known about the actual quantitative value, or economic cost, of shocks to world oil markets. The potential consequences of a given political or economic disturbance are unclear, and appear to depend on market conditions at the time of forecast and the idiosyncratic nature of the shock (see Figure 1). This study develops a new analytical framework to analyze shocks to world oil markets. We build upon the global vector autoregression (GVAR) model developed in 2016 by Mohaddes and Pesaran to include a new variable, OECD oil inventories, creating the GVAR Oil and Inventory Model — GOVAR. We also expand its geographic coverage by adding two new countries, Russia and Venezuela.

Keywords: GVAR; Oil markets; Oil Price; Oil Price Shocks (search for similar items in EconPapers)
Pages: 51 pages
Date: 2020-06-10
New Economics Papers: this item is included in nep-cis, nep-ene and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.kapsarc.org/research/publications/worl ... global-var-analysis/ First version, 2020 (application/pdf)

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:prc:mpaper:ks--2020-mp04

DOI: 10.30573/KS--2020-MP04

Access Statistics for this paper

More papers in Methodology Papers from King Abdullah Petroleum Studies and Research Center Contact information at EDIRC.
Bibliographic data for series maintained by Michael Gaffney ().