Empirical Evidence of Co-Movements between China and Global Stock Markets

T. Chiang, L. Lao, Qingfeng Xue
{"title":"Empirical Evidence of Co-Movements between China and Global Stock Markets","authors":"T. Chiang, L. Lao, Qingfeng Xue","doi":"10.2139/ssrn.2311706","DOIUrl":null,"url":null,"abstract":"This paper investigates the dynamic correlations between Chinese stock return and global markets at both market and sectoral levels. Statistics suggest that stock-return correlations across markets are time-varying and display structural breaks. The evidence indicates that the stock returns of financial sector exhibit the highest correlation across countries among 10 sectors. Low correlations present in Health Cares, Telecommunications, and Utilities sectors. The correlations tied closely with geographic location – the correlation with Hong Kong is highest followed by South Koran, Japan, Europe and US markets. The time-series stock-return correlations are positively correlated with the conditional variance and variance premiums.","PeriodicalId":291168,"journal":{"name":"Capital Markets 3","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Capital Markets 3","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2311706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper investigates the dynamic correlations between Chinese stock return and global markets at both market and sectoral levels. Statistics suggest that stock-return correlations across markets are time-varying and display structural breaks. The evidence indicates that the stock returns of financial sector exhibit the highest correlation across countries among 10 sectors. Low correlations present in Health Cares, Telecommunications, and Utilities sectors. The correlations tied closely with geographic location – the correlation with Hong Kong is highest followed by South Koran, Japan, Europe and US markets. The time-series stock-return correlations are positively correlated with the conditional variance and variance premiums.
中国与全球股市联动的实证研究
本文从市场和行业两个层面考察了中国股票收益与全球市场的动态相关性。统计数据表明,各个市场的股票收益相关性是时变的,并表现出结构性断裂。证据表明,在10个行业中,金融部门的股票收益在各国之间表现出最高的相关性。医疗保健、电信和公用事业部门的相关性较低。这种相关性与地理位置密切相关——与香港的相关性最高,其次是韩国、日本、欧洲和美国市场。时间序列股票收益相关性与条件方差和方差溢价呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信