俄乌战争后国际商品和股票市场的依赖结构。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0316288
Cheng Zhang, Shuo Liu, Mimi Qin, Bin Gao
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引用次数: 0

摘要

近年来,国际社会发生了许多危机事件,2022年2月24日爆发的俄乌战争增加了国际政策的不确定性,并影响了当前的世界商品和金融市场。因此,我们试图捕捉俄乌战争如何影响国际商品和股票市场的相关结构。我们研究了六组商品日收益和一组股票日收益,并选择了2022年2月24日至2022年6月1日的样本作为俄乌战争期间的样本;此外,我们选择2019年12月1日至2020年12月31日的样本作为COVID-19对照组的样本,2014年1月1日至2017年12月31日的样本作为非极端事件对照组的样本,探索战前国际商品和股票市场的相关性结构,并比较和揭示俄乌战争的不确定事件对商品和股票市场的影响。本文采用ARMA-GARCH-std方法构造各序列的边际密度函数,并基于边际密度函数建立R-Vine copula模型,分析各市场之间的相关关系。从葡萄树中可以发现,在俄乌战争期间,原油成为连接各个商品市场和股票市场的核心。原油价格波动可能向农产品和贵金属市场同向传染,而股票市场价格波动与大宗商品市场呈负相关。与选定的对照组样本比较发现,俄乌战争增加了市场之间的相关性,增加了风险传递的可能性。俄乌战争后,关联度结构的核心从农产品和贵金属转向原油。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The dependency structure of international commodity and stock markets after the Russia-Ukraine war.

The dependency structure of international commodity and stock markets after the Russia-Ukraine war.

The dependency structure of international commodity and stock markets after the Russia-Ukraine war.

The dependency structure of international commodity and stock markets after the Russia-Ukraine war.

In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. We study six groups of commodity daily returns and one group of stock daily returns and select the sample from 24th February 2022 to 1st June 2022 as the sample during the Russia-Ukraine war; in addition, we select the sample from 1st December 2019 to 31st December 2020 as the sample during COVID-19 control group, and the sample from 1st January 2014 to 31st December 2017 as the non-extreme event control group, to explore the correlation structure of international commodity and stock markets before the war, and to compare and uncover the impact of the uncertain event of the Russia-Ukraine war on the commodity and stock markets. In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. The price fluctuations of crude oil may be contagious to agricultural and precious metal markets in the same direction, while the stock market price fluctuations are inversely correlated with commodity markets. Comparison with the selected control group sample reveals that the Russia-Ukraine war increases the correlation between the markets and enhances the possibility of risk transmission. The core of the correlation structure shifts from agricultural commodities and precious metals to crude oil after the Russia-Ukraine war.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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