Arbeitspapier

What central bankers need to know about forecasting oil prices

Forecasts of the quarterly real price of oil are routinely used by international organizations and central banks worldwide in assessing the global and domestic economic outlook, yet little is known about how best to generate such forecasts. Our analysis breaks new ground in several dimensions. First, we address a number of econometric and data issues specific to real-time forecasts of quarterly oil prices. Second, we develop real-time forecasting models not only for U.S. benchmarks such as West Texas Intermediate crude oil, but we also develop forecasting models for the price of Brent crude oil, which has become increasingly accepted as the best measure of the global price of oil in recent years. Third, we design for the first time methods for forecasting the real price of oil in foreign consumption units rather than U.S. consumption units, taking the point of view of forecasters outside the United States. In addition, we investigate the costs and benefits of allowing for time variation in vector autoregressive (VAR) model parameters and of constructing forecast combinations. We conclude that quarterly forecasts of the real price of oil from suitably designed VAR models estimated on monthly data generate the most accurate forecasts among a wide range of methods including forecasts based on oil futures prices, no-change forecasts and forecasts based on regression models estimated on quarterly data.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Working Paper ; No. 2013-15

Klassifikation
Wirtschaft
Energy and the Macroeconomy
Forecasting Models; Simulation Methods
Business Fluctuations; Cycles
Thema
Econometric and statistical methods
International topics

Ereignis
Geistige Schöpfung
(wer)
Baumeister, Christiane
Kilian, Lutz
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2013

DOI
doi:10.34989/swp-2013-15
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Baumeister, Christiane
  • Kilian, Lutz
  • Bank of Canada

Entstanden

  • 2013

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