基于copula的金融组合依赖条件风险测度研究

Yi Wen-de, Huang Ai-hua
{"title":"基于copula的金融组合依赖条件风险测度研究","authors":"Yi Wen-de, Huang Ai-hua","doi":"10.1109/FITME.2008.131","DOIUrl":null,"url":null,"abstract":"Copulas have become a powerful tool for modeling the dependence structure of financial data and preferable to the traditional, correlation-based approach. This paper concerns the application of copula functions in VaR and conditional VaR valuation. Some measures of dependence risks are proposed in studying financial portfoliopsilas risk. We investigate the relations between the dependence risk measure and copula function, and find that the choice of copula will effect on the degree of dependence risk in portfolio.","PeriodicalId":218182,"journal":{"name":"2008 International Seminar on Future Information Technology and Management Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Measures of Dependence Conditional Risk Based-on Copulas in Financial Portfolio\",\"authors\":\"Yi Wen-de, Huang Ai-hua\",\"doi\":\"10.1109/FITME.2008.131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Copulas have become a powerful tool for modeling the dependence structure of financial data and preferable to the traditional, correlation-based approach. This paper concerns the application of copula functions in VaR and conditional VaR valuation. Some measures of dependence risks are proposed in studying financial portfoliopsilas risk. We investigate the relations between the dependence risk measure and copula function, and find that the choice of copula will effect on the degree of dependence risk in portfolio.\",\"PeriodicalId\":218182,\"journal\":{\"name\":\"2008 International Seminar on Future Information Technology and Management Engineering\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Seminar on Future Information Technology and Management Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FITME.2008.131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Seminar on Future Information Technology and Management Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FITME.2008.131","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

copula已经成为建模财务数据依赖结构的强大工具,比传统的基于关联的方法更可取。本文讨论了联结函数在VaR和条件VaR估值中的应用。在金融投资组合风险研究中,提出了一些依赖风险的度量方法。研究了依赖风险测度与copula函数之间的关系,发现copula函数的选择会影响投资组合的依赖风险程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Measures of Dependence Conditional Risk Based-on Copulas in Financial Portfolio
Copulas have become a powerful tool for modeling the dependence structure of financial data and preferable to the traditional, correlation-based approach. This paper concerns the application of copula functions in VaR and conditional VaR valuation. Some measures of dependence risks are proposed in studying financial portfoliopsilas risk. We investigate the relations between the dependence risk measure and copula function, and find that the choice of copula will effect on the degree of dependence risk in portfolio.
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
×
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:481959085
Book学术官方微信