条件方差方程中市场相互依赖的多元DCC-GARCH模型

M. Fałdziński, M. Pietrzak
{"title":"条件方差方程中市场相互依赖的多元DCC-GARCH模型","authors":"M. Fałdziński, M. Pietrzak","doi":"10.5604/01.3001.0014.1763","DOIUrl":null,"url":null,"abstract":"The article seeks to investigate the issue of interdependence that during crisis periods in the capital markets is of particular importance due to the likelihood of causing a crisis in the real economy. The research objective of the article is to identify this interdependence in volatility. Therefore, first we propose our own modification of the DCC-GARCH model which is so designed as to test for interdependence in conditional variance. Then, the DCC-GARCH-In model was used to study interdependence in volatility of selected stock market indices. The results of the research confirmed the presence of interdependence among the selected markets.\n\n","PeriodicalId":357447,"journal":{"name":"Przegląd Statystyczny","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Multivariate DCC-GARCH Model with Interdependence among Markets in Conditional Variances’ Equations\",\"authors\":\"M. Fałdziński, M. Pietrzak\",\"doi\":\"10.5604/01.3001.0014.1763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article seeks to investigate the issue of interdependence that during crisis periods in the capital markets is of particular importance due to the likelihood of causing a crisis in the real economy. The research objective of the article is to identify this interdependence in volatility. Therefore, first we propose our own modification of the DCC-GARCH model which is so designed as to test for interdependence in conditional variance. Then, the DCC-GARCH-In model was used to study interdependence in volatility of selected stock market indices. The results of the research confirmed the presence of interdependence among the selected markets.\\n\\n\",\"PeriodicalId\":357447,\"journal\":{\"name\":\"Przegląd Statystyczny\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Przegląd Statystyczny\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0014.1763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Przegląd Statystyczny","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0014.1763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文试图调查相互依存的问题,在资本市场的危机时期,由于在实体经济中造成危机的可能性特别重要。本文的研究目的是确定波动性中的这种相互依存关系。因此,首先我们提出了我们自己对DCC-GARCH模型的修改,该模型是为了测试条件方差中的相互依赖性而设计的。然后,利用DCC-GARCH-In模型研究了股票市场指数波动率的相互依赖性。研究结果证实了所选市场之间存在相互依存关系。
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
The Multivariate DCC-GARCH Model with Interdependence among Markets in Conditional Variances’ Equations
The article seeks to investigate the issue of interdependence that during crisis periods in the capital markets is of particular importance due to the likelihood of causing a crisis in the real economy. The research objective of the article is to identify this interdependence in volatility. Therefore, first we propose our own modification of the DCC-GARCH model which is so designed as to test for interdependence in conditional variance. Then, the DCC-GARCH-In model was used to study interdependence in volatility of selected stock market indices. The results of the research confirmed the presence of interdependence among the selected markets.
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
Impact of a priori positive information on the results of voting methods Comparison of the accuracy of forecasts bsed on neural networks before and after the outbreak of the COVID-19 pandemic on the example of selected exchange rates Estimation of Yu and Meyer bivariate stochastic volatility model by iterated filtering Sample size in clinical trials – challenges and approaches Alternative investments during turbulent times comparison of dynamic relationship
×
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