广义FGM联结下基于尾部扭曲风险度量的风险集中

Wenhua Lv, Liheng Sang, Guangjun Shen
{"title":"广义FGM联结下基于尾部扭曲风险度量的风险集中","authors":"Wenhua Lv, Liheng Sang, Guangjun Shen","doi":"10.1109/IIKI.2016.98","DOIUrl":null,"url":null,"abstract":"Risk concentration is used as a measurement of diversification benefits in the context of risk concentration. The tail distortion risk measure, which was introduced in Zhu and Li (2012), has attracted increasing interest recently. In this paper, We investigate the second-order asymptotics of the risk concentration based on the tail distortion risk measure, when the dependence structure is driven by the generalized copulas.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Concentration Based on the Tail Distortion Risk Measure under Generalized FGM Copula\",\"authors\":\"Wenhua Lv, Liheng Sang, Guangjun Shen\",\"doi\":\"10.1109/IIKI.2016.98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Risk concentration is used as a measurement of diversification benefits in the context of risk concentration. The tail distortion risk measure, which was introduced in Zhu and Li (2012), has attracted increasing interest recently. In this paper, We investigate the second-order asymptotics of the risk concentration based on the tail distortion risk measure, when the dependence structure is driven by the generalized copulas.\",\"PeriodicalId\":371106,\"journal\":{\"name\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIKI.2016.98\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIKI.2016.98","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

在风险集中的背景下,风险集中度被用来衡量多元化收益。在Zhu和Li(2012)中引入的尾部扭曲风险度量近来引起了越来越多的关注。本文研究了基于尾部扭曲风险测度的风险集中的二阶渐近性,当依赖结构由广义copula驱动时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Concentration Based on the Tail Distortion Risk Measure under Generalized FGM Copula
Risk concentration is used as a measurement of diversification benefits in the context of risk concentration. The tail distortion risk measure, which was introduced in Zhu and Li (2012), has attracted increasing interest recently. In this paper, We investigate the second-order asymptotics of the risk concentration based on the tail distortion risk measure, when the dependence structure is driven by the generalized copulas.
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