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Real-time forecast combinations for the oil price

机译:石油价格的实时预测组合

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摘要

Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338-351) combine forecasts from six empirical models to predict real oil prices. In this paper, we broadly reproduce their main economic findings, employing their preferred measures of the real oil price and other real-time variables. Mindful of the importance of Brent crude oil as a global price benchmark, we extend consideration to the North Sea-based measure and update the evaluation sample to 2017:12. We model the oil price futures curve using a factor-based Nelson-Siegel specification estimated in real time to fill in missing values for oil price futures in the raw data. We find that the combined forecasts for Brent are as effective as for other oil price measures. The extended sample using the oil price measures adopted by Baumeister and Kilian yields similar results to those reported in their paper. Also, the futures-based model improves forecast accuracy at longer horizons.
机译:Baumeister和Kilian(商业与经济统计杂志,2015,33(3),338-351)结合了来自六个经验模型的预测来预测实际油价。在本文中,我们采用他们对实际石油价格和其他实时变量的首选测度,广泛地再现了他们的主要经济发现。考虑到布伦特原油作为全球价格基准的重要性,我们将考虑范围扩大到基于北海的措施,并将评估样本更新至2017:12。我们使用实时估算的基于因子的Nelson-Siegel规范对石油价格期货曲线进行建模,以在原始数据中填写石油价格期货的缺失值。我们发现,布伦特原油价格的综合预测与其他油价指标一样有效。使用Baumeister和Kilian所采用的石油价格测度的扩展样本得出的结果与他们的论文中报道的结果相似。同样,基于期货的模型提高了较长时间范围内的预测准确性。

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  • 来源
    《Journal of applied econometrics》 |2019年第3期|456-462|共7页
  • 作者单位

    Univ Warwick, Warwick Business Sch, Dept Finance, Coventry CV4 7AL, W Midlands, England|NIESR, London, England;

    Univ Warwick, Warwick Business Sch, Dept Finance, Coventry CV4 7AL, W Midlands, England|NIESR, London, England;

    Univ Warwick, Warwick Business Sch, Dept Finance, Coventry CV4 7AL, W Midlands, England;

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