用“三Co”共同建模商品市场:共同生产、共同消费和共同交易

P. Papenfuß, A. Schischke, A. Rathgeber
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引用次数: 0

摘要

在本研究中,我们基于全球向量自回归(GVAR)模型开发了一个框架,将商品市场的两种视角结合起来,一种是特定商品、以单一市场为中心的方法,研究商品价格的微观和宏观驱动因素,另一种是市场视角,观察交易所商品价格的共同走势。因此,GVAR模型将单一市场从市场间效应中分离出来,同时考虑了宏观经济因素的影响。我们将该框架应用于六个工业金属市场,通过它们的共同生产、共同消费或共同贸易关系来反映它们的相互依赖性。特别是,跨商品维度的众多显著溢出效应强调了共同建立商品市场模型的重要性。虽然我们的框架非常好地代表了工业金属价格之间的强烈共同运动,但商品的微观经济供给和需求属性在市场内部和市场之间甚至对价格变量都有重大影响,突出了它们在现代商品市场模型中的相关性。此外,我们发现全球冲击,例如全球需求增加,对每个商品市场的影响程度相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the Three Co's to Jointly Model Commodity Markets: Co-Production, Co-Consumption and Co-Trading
In this study, we develop a framework, based on a global vector autoregression (GVAR) model, to unite two perspectives on commodity markets, the commodity-specific, single-market-centered approach, investigating the micro- and macroeconomic drivers of commodity prices, and the market perspective, which observes joint movements of commodity prices on exchanges. Thereby, the GVAR model disentangles single market from inter-market effects, while simultaneously accounting for the impact of macroeconomic factors. We apply the framework to the six industrial metals markets, reflecting their interdependencies via their co-production, co-consumption, or co-trading relation. In particular, the numerous significant spillover effects in the cross-commodity dimension underline the importance of jointly modeling commodity markets. While the strong co-movement between industrial metal prices is represented exceptionally well by our framework, the microeconomic supply and demand attributes of the commodities have significant impact, within and across markets, even on price variables, highlighting their relevance in modern commodity market models. Moreover, we detect global shocks, e.g., an increase in global demand, affect each commodity market to a similar extent.
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