运用因子分析模型对沪深800工业指数进行数据分析

Chunfen Xu
{"title":"运用因子分析模型对沪深800工业指数进行数据分析","authors":"Chunfen Xu","doi":"10.1504/IJGUC.2019.10023115","DOIUrl":null,"url":null,"abstract":"This paper studies the linkages among the industries based on CSI 800 industry index, which provides mass complicated data for industry research. Factor analysis, a useful data analysis tool, allows researchers to investigate concepts that are not easily measured directly by collapsing a large number of variables into a few interpretable underlying factors. Firstly, data of ten industries in the period from September 2009 to March 2017 is collected from CSI 800 Index and correlational analyses are conducted. Secondly, this paper establishes an appropriate evaluation system, and then uses factor analysis to do dimension reduction. Finally, some characteristics and trends in various industries are obtained.","PeriodicalId":375871,"journal":{"name":"Int. J. Grid Util. Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data analysis of CSI 800 industry index by using factor analysis model\",\"authors\":\"Chunfen Xu\",\"doi\":\"10.1504/IJGUC.2019.10023115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the linkages among the industries based on CSI 800 industry index, which provides mass complicated data for industry research. Factor analysis, a useful data analysis tool, allows researchers to investigate concepts that are not easily measured directly by collapsing a large number of variables into a few interpretable underlying factors. Firstly, data of ten industries in the period from September 2009 to March 2017 is collected from CSI 800 Index and correlational analyses are conducted. Secondly, this paper establishes an appropriate evaluation system, and then uses factor analysis to do dimension reduction. Finally, some characteristics and trends in various industries are obtained.\",\"PeriodicalId\":375871,\"journal\":{\"name\":\"Int. J. Grid Util. Comput.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Grid Util. Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJGUC.2019.10023115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Grid Util. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJGUC.2019.10023115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文基于沪深800行业指数对行业间的关联进行了研究,为行业研究提供了大量复杂的数据。因子分析是一种有用的数据分析工具,它允许研究人员通过将大量变量分解为几个可解释的潜在因素来调查不容易直接测量的概念。首先,收集2009年9月至2017年3月沪深800指数中10个行业的数据,并进行相关性分析。其次,建立合适的评价体系,运用因子分析法进行降维。最后,得出了各行业的一些特点和趋势。
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
Data analysis of CSI 800 industry index by using factor analysis model
This paper studies the linkages among the industries based on CSI 800 industry index, which provides mass complicated data for industry research. Factor analysis, a useful data analysis tool, allows researchers to investigate concepts that are not easily measured directly by collapsing a large number of variables into a few interpretable underlying factors. Firstly, data of ten industries in the period from September 2009 to March 2017 is collected from CSI 800 Index and correlational analyses are conducted. Secondly, this paper establishes an appropriate evaluation system, and then uses factor analysis to do dimension reduction. Finally, some characteristics and trends in various industries are obtained.
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
0.00%
发文量
0
期刊最新文献
Resource consumption trade-off for reducing hotspot migration in modern data centres Method for determining cloth simulation filtering threshold value based on curvature value of fitting curve An agent-based mechanism to form cloud federations and manage their requirements changes K-means clustering algorithm for data distribution in cloud computing environment FastGarble: an optimised garbled circuit construction framework
×
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