The new benchmark for forecasts of the real price of crude oil / by Amor Aniss Benmoussa, Reinhard Ellwanger and Stephen Snudden. : FB3-5/2020-39E-PDF

"We propose a new no-change benchmark to evaluate forecasts of series that are temporally aggregated. The new benchmark is the last high-frequency observation and reflects the null hypothesis that the underlying series, rather than the aggregated series, is unpredictable. Under the random walk null hypothesis, using the last high-frequency observation improves the mean squared prediction errors of the no-change forecast constructed from average monthly or quarterly data by up to 45 percent. We apply this insight to forecasts of the real price of crude oil and show that a new benchmark that relies on monthly closing prices dominates the conventional no-change forecast in terms of forecast accuracy. Although model-based forecasts also improve when models are estimated using closing prices, only the futures-based forecast significantly outperforms the new benchmark. Introducing a more suitable benchmark changes the assessments of different forecasting approaches and of the general predictability of real oil prices"--Abstract, page ii.

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publications.gc.ca/pub?id=9.891870&sl=1

Renseignements sur la publication
Ministère/Organisme Bank of Canada, issuing body.
Titre The new benchmark for forecasts of the real price of crude oil / by Amor Aniss Benmoussa, Reinhard Ellwanger and Stephen Snudden.
Titre de la série Staff working paper = Document de travail du personnel, 1701-9397 ; 2020-39
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "Last updated: September 22, 2020."
Includes bibliographical references (pages 22-23).
Information sur la publication Ottawa, Ontario, Canada : Bank of Canada = Banque du Canada, 2020.
©2020
Auteur / Contributeur Benmoussa, Amor Aniss, author.
Description 1 online resource (ii, 29 pages) : colour illustrations.
Numéro de catalogue
  • FB3-5/2020-39E-PDF
Descripteurs Petroleum products -- Prices -- Forecasting -- Econometric models.
Produits pétroliers -- Prix -- Prévision -- Modèles économétriques.
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