Forecasting the Nominal Brent Oil Price with VARs—One Model Fits All?

Benjamin Beckers and Samya Beidas-Strom

No 2015/251, IMF Working Papers from International Monetary Fund

Abstract: We carry out an ex post assessment of popular models used to forecast oil prices and propose a host of alternative VAR models based on traditional global macroeconomic and oil market aggregates. While the exact specification of VAR models for nominal oil price prediction is still open to debate, the bias and underprediction in futures and random walk forecasts are larger across all horizons in relation to a large set of VAR specifications. The VAR forecasts generally have the smallest average forecast errors and the highest accuracy, with most specifications outperforming futures and random walk forecasts for horizons up to two years. This calls for caution in reliance on futures or the random walk for forecasting, particularly for near term predictions. Despite the overall strength of VAR models, we highlight some performance instability, with small alterations in specifications, subsamples or lag lengths providing widely different forecasts at times. Combining futures, random walk and VAR models for forecasting have merit for medium term horizons.

Keywords: WP; oil price; VAR model; WTI crude; forecasting model; null hypothesis; forecasting; oil; VARs; VAR forecast; rival VAR specification; random walk model; VAR system; RAC price series; medium-term oil price forecasting model; lag length; Brent price; factor VAR; trended oil price model; intercept term; Oil prices; Vector autoregression; Futures; Global; North America (search for similar items in EconPapers)
Pages: 32
Date: 2015-11-25
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=43423 (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:imf:imfwpa:2015/251

Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm

Access Statistics for this paper

More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().