• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

股票市场风险对商品市场的影响持续性:来自中国的证据。

Impact persistence of stock market risks in commodity markets: Evidence from China.

机构信息

School of Business, Ningbo University, Ningbo, Zhejiang, China.

School of Economics and Management, Northeast Agricultural University, Harbin, Heilongjiang, China.

出版信息

PLoS One. 2021 Nov 8;16(11):e0259308. doi: 10.1371/journal.pone.0259308. eCollection 2021.

DOI:10.1371/journal.pone.0259308
PMID:34748595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8575302/
Abstract

The risk spillover among financial markets has been noticeably investigated in a burgeoning number of literature. Given those doctrines, we scrutinize the impact persistence of volatility spillover and illiquidity spillover of Chinese commodity markets in this paper. Based on the sample from 2010 to 2020, we reveal that there is a cross-market spillover of volatility and illiquidity in China and also, interactions between volatility and illiquidity in different financial markets are pronounced. More importantly, we demonstrate that different commodity markets have different responsiveness to stock market shocks, which embeds their market characteristics. Specifically, we discover that the majority of the traders in gold market might be hedger and therefore gold market is more sensitive to stock market illiquidity shock and thus the shock impact in persistent. On the other hand, agricultural markets like corn and soybean markets might be dominated by investors and thus those markets respond to the stock market volatility shocks and the shock impact in persistent over 10 periods given the first period of risk shock happening. In fact, different Chinese commodity markets' responsiveness towards Chinese stock market risk shocks indicates the stock market risk impact persistence in Chinese commodity markets. This result can help policymakers to understand the policy propagation effect according to this risk spillover channel and risk impact persistence mechanism in China.

摘要

金融市场之间的风险溢出已经在大量文献中得到了明显的研究。基于这些理论,我们在本文中考察了中国商品市场波动溢出和流动性溢出的影响持续性。基于 2010 年至 2020 年的样本,我们发现中国存在跨市场的波动和流动性溢出,不同金融市场之间的波动和流动性相互作用显著。更重要的是,我们证明了不同的商品市场对股票市场冲击的反应不同,这反映了它们的市场特征。具体来说,我们发现黄金市场的大多数交易者可能是套期保值者,因此黄金市场对股票市场流动性冲击更为敏感,冲击的持续影响也更为持久。另一方面,像玉米和大豆这样的农产品市场可能由投资者主导,因此这些市场对股票市场波动冲击更为敏感,并且在风险冲击发生后的前 10 个时期内,冲击的持续影响较为持久。事实上,中国不同商品市场对中国股票市场风险冲击的反应表明,股票市场风险在中国商品市场的影响具有持续性。这一结果可以帮助政策制定者根据中国的风险溢出渠道和风险影响持续性机制,了解政策的传播效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/e991fb2830d8/pone.0259308.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/5743572843f6/pone.0259308.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/7718ea088f11/pone.0259308.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/7b0a835fe2b5/pone.0259308.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/e152f4bb4f29/pone.0259308.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/460e74a6eead/pone.0259308.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/dc79abb77968/pone.0259308.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/a91f59f115b0/pone.0259308.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/dc802c8339f5/pone.0259308.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/e991fb2830d8/pone.0259308.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/5743572843f6/pone.0259308.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/7718ea088f11/pone.0259308.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/7b0a835fe2b5/pone.0259308.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/e152f4bb4f29/pone.0259308.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/460e74a6eead/pone.0259308.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/dc79abb77968/pone.0259308.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/a91f59f115b0/pone.0259308.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/dc802c8339f5/pone.0259308.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a607/8575302/e991fb2830d8/pone.0259308.g009.jpg

相似文献

1
Impact persistence of stock market risks in commodity markets: Evidence from China.股票市场风险对商品市场的影响持续性:来自中国的证据。
PLoS One. 2021 Nov 8;16(11):e0259308. doi: 10.1371/journal.pone.0259308. eCollection 2021.
2
Stock market comovements among Asian emerging economies: A wavelet-based approach.亚洲新兴经济体股市联动:基于小波的方法。
PLoS One. 2020 Oct 12;15(10):e0240472. doi: 10.1371/journal.pone.0240472. eCollection 2020.
3
Scaling and volatility of breakouts and breakdowns in stock price dynamics.股价动态中突破与跌破的规模及波动性。
PLoS One. 2013 Dec 23;8(12):e82771. doi: 10.1371/journal.pone.0082771. eCollection 2013.
4
Contagion effect of cryptocurrency on the securities market: a study of Bitcoin volatility using diagonal BEKK and DCC GARCH models.加密货币对证券市场的传染效应:基于对角BEKK和DCC GARCH模型的比特币波动性研究
SN Bus Econ. 2022;2(6):57. doi: 10.1007/s43546-022-00219-0. Epub 2022 May 20.
5
Wealthy individual investors and stock markets' tail risk.富裕的个人投资者与股票市场的尾部风险。
PLoS One. 2024 May 20;19(5):e0282173. doi: 10.1371/journal.pone.0282173. eCollection 2024.
6
WTI, Brent or implied volatility index: Perspective of volatility spillover from oil market to Chinese stock market.西德克萨斯中质原油(WTI)、布伦特原油或隐含波动率指数:石油市场对中国股票市场的波动率溢出效应研究
PLoS One. 2024 Apr 25;19(4):e0302131. doi: 10.1371/journal.pone.0302131. eCollection 2024.
7
The spillover effects and connectedness among green commodities, Bitcoins, and US stock markets: Evidence from the quantile VAR network.绿色商品、比特币与美国股票市场之间的溢出效应与联动关系:基于分位数向量自回归网络的证据。
J Environ Manage. 2022 Mar 15;306:114493. doi: 10.1016/j.jenvman.2022.114493. Epub 2022 Jan 15.
8
Volatility connectedness of GCC stock markets: how global oil price volatility drives volatility spillover in GCC stock markets?GCC 股票市场的波动关联性:全球油价波动如何引发 GCC 股票市场的波动溢出?
Environ Sci Pollut Res Int. 2023 Feb;30(6):14212-14222. doi: 10.1007/s11356-022-23114-5. Epub 2022 Sep 23.
9
Measuring liquidity in Indian stock market: A dimensional perspective.印度股票市场流动性的衡量:一个维度的视角。
PLoS One. 2020 Sep 4;15(9):e0238718. doi: 10.1371/journal.pone.0238718. eCollection 2020.
10
COVID-19 Shock and the Time-Varying Volatility Spillovers Among the Energy and Precious Metals Markets: Evidence From A DCC-GARCH-CONNECTEDNESS Approach.COVID-19 冲击与能源和贵金属市场间的时变波动溢出:基于 DCC-GARCH-连接性方法的证据。
Front Public Health. 2022 Jul 27;10:906969. doi: 10.3389/fpubh.2022.906969. eCollection 2022.

引用本文的文献

1
Extreme risk spillovers between US and Chinese agricultural futures markets in crises: A dependence-switching copula-CoVaR model.中美农产品期货市场危机极端风险溢出:依赖转移 copula-CoVaR 模型。
PLoS One. 2024 Mar 6;19(3):e0299237. doi: 10.1371/journal.pone.0299237. eCollection 2024.
2
Dynamic asymmetric spillovers and connectedness between Chinese sectoral commodities and industry stock markets.中国行业商品与工业股票市场之间的动态非对称溢出和关联性。
PLoS One. 2024 Jan 2;19(1):e0296501. doi: 10.1371/journal.pone.0296501. eCollection 2024.

本文引用的文献

1
The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels.新冠疫情对商品市场波动性的影响:分析商品价格与新冠疫情恐慌水平之间的时频关系。
Resour Policy. 2021 Oct;73:102164. doi: 10.1016/j.resourpol.2021.102164. Epub 2021 Jun 3.
2
Return and volatility transmission between oil price shocks and agricultural commodities.油价冲击与农产品之间的收益和波动传递。
PLoS One. 2021 Feb 19;16(2):e0246886. doi: 10.1371/journal.pone.0246886. eCollection 2021.