EFFECTS OF VOLATILITY AMONG COMMODITIES IN THE LONG TERM: ANALYSIS OF A COMPLEX NETWORK

IF 2 0 ECONOMICS
Marcelo de Oliveira Passos, M. Tessmann, Regis A. Ely, Daniel Uhr, Márcio Taceli Taveira
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引用次数: 0

Abstract

The large inflow of investment capital in critical periods sparked a debate about the extent to which these speculative bubbles affect asset volatility and how (and what extent) these volatilities are transmitted between them. In periods of greater uncertainty, commodity futures markets may receive and/or send two types of volatility spillovers: intergroup of assets and/or intragroup of assets. We tested for the period from March 3, 2000 to May 4, 2017, which of the two effects prevailed and in which group of assets was more intense. We concluded that the most relevant volatility transmission effects (measured by Diebold–Yilmaz indices) occurred intragroup of assets — corn, wheat, soy, oats and rice. These assets make up the main cluster of a commodities complex network. Thus, we detected and measured using network approach that the most significant effects was over the years of the Great Recession (2007–2009) and the peak of the European Sovereign Debt Crisis (2010–2012).
长期内商品波动的影响:一个复杂网络的分析
关键时期投资资本的大量流入引发了一场辩论,讨论这些投机泡沫在多大程度上影响资产波动,以及这些波动如何(以及在多大范围内)在它们之间传递。在不确定性较大的时期,大宗商品期货市场可能会接收和/或发送两种类型的波动溢出:资产组间和/或资产组内。我们测试了2000年3月3日至2017年5月4日这段时间,这两种影响中哪一种占主导地位,哪一组资产更为强烈。我们得出的结论是,最相关的波动性传导效应(由Diebold–Yilmaz指数衡量)发生在玉米、小麦、大豆、燕麦和大米等资产组内。这些资产构成了大宗商品综合网络的主要集群。因此,我们使用网络方法检测和衡量了最显著的影响是在大衰退(2007-2009年)和欧洲主权债务危机(2010-2012年)的高峰期。
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
CiteScore
6.60
自引率
55.00%
发文量
30
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