Common Factors and the Dynamics of Cereal Prices. A Forecasting Perspective

M. Kwas, Alessia Paccagnini, Micha l Rubaszek
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引用次数: 3

Abstract

This article investigates what determines the price dynamics of the main cereals: barley, maize, rice and wheat. Using an extensive dataset of monthly time series covering the years 1980 - 2019, we extract four different common factors explaining the dynamics of commodity prices, exchange rates, financial and macroeconomic indicators. Next, we examine whether these factors are useful in explaining the movements of cereal prices. We show that models incorporating all four factors outperform significantly the naive random walk model in out-of-sample forecasting competition, especially for longer horizons. However, they have only marginally better performance than a simpler model based on the commodity factor alone.
谷物价格的共同因素和动态。预测视角
本文研究了决定大麦、玉米、水稻和小麦等主要谷物价格动态的因素。使用涵盖1980 - 2019年的每月时间序列的广泛数据集,我们提取了四个不同的共同因素,解释了商品价格、汇率、金融和宏观经济指标的动态。接下来,我们将检验这些因素是否有助于解释谷物价格的变动。我们表明,包含所有四个因素的模型在样本外预测竞争中表现明显优于朴素随机漫步模型,特别是对于更长的视野。然而,它们的表现只比仅基于商品因素的简单模型好一点点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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