Forecasting the Nominal Brent Oil Price with VARs-One Model Fits All?:
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Bibliographische Detailangaben
Beteilige Person: Beckers, Benjamin (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Washington, D.C International Monetary Fund 2015
Schriftenreihe:IMF Working Papers: Working Paper No. 15 / 251
Links:http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
http://www.elibrary.imf.org/view/IMF001/22963-9781513524276/22963-9781513524276/22963-9781513524276.xml
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
Umfang:1 Online-Ressource (32 p)
ISBN:1513524275
9781513524276