检查时变的完整性和相互关系之间的全球股票市场

Hazar Altinbaş
{"title":"检查时变的完整性和相互关系之间的全球股票市场","authors":"Hazar Altinbaş","doi":"10.20472/iac.2018.935.003","DOIUrl":null,"url":null,"abstract":"This paper examines co-movements and interrelationships among 6 emerging and 5 developed stock market returns between period 2001- 2017. First, principal components are extracted from returns. Results show that, for the period analyzed, there is no strong global stock market integration and there isn't any change in patterns of correlations of returns except short-term disturbances in global financial crisis time. Second, partial least squares regression models are used for predicting each stock market returns with other stock markets' current and all markets' up to three month lagged returns. Results identify divergence between developed and emerging markets and greater number of latent transmission channels among former ones. Findings indicate a strong integrity among global stock markets is not yet appeared and considered together with previous studies, today's international market structure can be attributed to last two decades of 20th century. China stock market has a disparate position than all other stock markets and deserves further interest.","PeriodicalId":42415,"journal":{"name":"International Journal of Economic Sciences","volume":"1 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"EXAMINING TIME-VARYING INTEGRITY AND INTERRELATIONSHIPS AMONG GLOBAL STOCK MARKETS\",\"authors\":\"Hazar Altinbaş\",\"doi\":\"10.20472/iac.2018.935.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines co-movements and interrelationships among 6 emerging and 5 developed stock market returns between period 2001- 2017. First, principal components are extracted from returns. Results show that, for the period analyzed, there is no strong global stock market integration and there isn't any change in patterns of correlations of returns except short-term disturbances in global financial crisis time. Second, partial least squares regression models are used for predicting each stock market returns with other stock markets' current and all markets' up to three month lagged returns. Results identify divergence between developed and emerging markets and greater number of latent transmission channels among former ones. Findings indicate a strong integrity among global stock markets is not yet appeared and considered together with previous studies, today's international market structure can be attributed to last two decades of 20th century. China stock market has a disparate position than all other stock markets and deserves further interest.\",\"PeriodicalId\":42415,\"journal\":{\"name\":\"International Journal of Economic Sciences\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Economic Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20472/iac.2018.935.003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Economic Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20472/iac.2018.935.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2

摘要

本文考察了2001- 2017年间6个新兴市场和5个发达国家股市回报率的共同变动和相互关系。首先,从收益中提取主成分。结果表明,在分析的时间段内,除了全球金融危机时期的短期扰动外,全球股市不存在强一体化,收益相关模式没有变化。其次,偏最小二乘回归模型用于预测每个股票市场与其他股票市场当前和所有市场滞后三个月的回报。研究结果表明,发达市场和新兴市场之间存在差异,而前者之间的潜在传播渠道数量更多。研究结果表明,全球股票市场之间尚未出现强烈的完整性,结合以往的研究,今天的国际市场结构可归因于20世纪最后二十年。中国股市与其他所有股市都有不同的地位,值得进一步关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
EXAMINING TIME-VARYING INTEGRITY AND INTERRELATIONSHIPS AMONG GLOBAL STOCK MARKETS
This paper examines co-movements and interrelationships among 6 emerging and 5 developed stock market returns between period 2001- 2017. First, principal components are extracted from returns. Results show that, for the period analyzed, there is no strong global stock market integration and there isn't any change in patterns of correlations of returns except short-term disturbances in global financial crisis time. Second, partial least squares regression models are used for predicting each stock market returns with other stock markets' current and all markets' up to three month lagged returns. Results identify divergence between developed and emerging markets and greater number of latent transmission channels among former ones. Findings indicate a strong integrity among global stock markets is not yet appeared and considered together with previous studies, today's international market structure can be attributed to last two decades of 20th century. China stock market has a disparate position than all other stock markets and deserves further interest.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
25.00%
发文量
0
期刊最新文献
An Error in the Theory of Seigniorage Nexus Between Foreign Direct Investment and Employment in Manufacturing and Services Sectors in Tunisia: An ARDL Approach Is the Eurozone an Optimum Currency Area? Public funding in R&D and R&D outcome sustainable development: Analysis of Member States EU The Treynor Ratio as a Risk-adjusted Return of Croatian Listed Firms
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1