Discerning trends in international metal prices in the presence of nonstationary volatility

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-02-01 DOI:10.1016/j.reseneeco.2022.101334
Tony Addison , Atanu Ghoshray
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Abstract

In this paper, we develop an empirical framework that allows us to trace out a time path of metal prices. This framework shows that unpredictable shifts in demand, extraction costs and discovery of reserves, make estimation of the slope of this underlying trend an empirical question. Further, the low elasticity of demand and supply cause large volatility in the prices, which makes estimation of the trend difficult. We estimate the trend in metal prices employing econometric procedures that are robust to the underlying order of integration of the data and allow for nonstationary volatility, which we note is a characteristic feature of metal prices. We further analyse whether metal prices are characterised by stochastic trends by conducting unit root tests that allow for nonstationary volatility. Applying these procedures on metal prices for over a century, we draw conclusions that relate to policy.

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在非平稳波动的情况下辨别国际金属价格的趋势
在本文中,我们开发了一个经验框架,使我们能够追踪金属价格的时间路径。该框架表明,需求、开采成本和储量发现的不可预测的变化,使对这一潜在趋势斜率的估计成为一个经验问题。此外,需求和供应的低弹性导致价格大幅波动,这使得估计趋势变得困难。我们使用计量经济学程序来估计金属价格的趋势,该程序对数据整合的基本顺序是稳健的,并考虑到非平稳波动,我们注意到这是金属价格的一个特征。我们通过进行允许非平稳波动的单位根检验,进一步分析金属价格是否具有随机趋势的特征。将这些程序应用于一个多世纪以来的金属价格,我们得出了与政策有关的结论。
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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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