Analysis of Dynamic Connectedness among Sovereign CDS Premia

Özcan Ceylan
{"title":"Analysis of Dynamic Connectedness among Sovereign CDS Premia","authors":"Özcan Ceylan","doi":"10.22440/wjae.9.1.2","DOIUrl":null,"url":null,"abstract":"This paper studies the dynamics of spillovers between sovereign Credit Default Swap (CDS) premia of nine countries, including Turkey, Russia, Brazil, South Africa, China, Germany, France, Italy and Spain. Weekly CDS data spans from July 2012 through June 2022. Adopting the methodology developed by Diebold & Yılmaz (2014), several connectedness measures are computed based on generalized forecast error variance decompositions generated through a time-varying parameter vector autoregressive model (TVP-VAR). The results show that the network’s connectedness level increased significantly during the COVID-19 outbreak and the Ukrainian war. Higher connectedness levels among European markets and developing countries are observed. Especially the connectedness levels between South Africa and other developing countries are remarkably high. The results reveal both fundamental-based and pure contagion channels and provide insight into the dynamic network of risk spillovers. A thorough understanding of international risk transmission channels is crucial for policy-makers and global investors regarding risk mitigation.","PeriodicalId":447082,"journal":{"name":"World Journal of Applied Economics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Applied Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22440/wjae.9.1.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper studies the dynamics of spillovers between sovereign Credit Default Swap (CDS) premia of nine countries, including Turkey, Russia, Brazil, South Africa, China, Germany, France, Italy and Spain. Weekly CDS data spans from July 2012 through June 2022. Adopting the methodology developed by Diebold & Yılmaz (2014), several connectedness measures are computed based on generalized forecast error variance decompositions generated through a time-varying parameter vector autoregressive model (TVP-VAR). The results show that the network’s connectedness level increased significantly during the COVID-19 outbreak and the Ukrainian war. Higher connectedness levels among European markets and developing countries are observed. Especially the connectedness levels between South Africa and other developing countries are remarkably high. The results reveal both fundamental-based and pure contagion channels and provide insight into the dynamic network of risk spillovers. A thorough understanding of international risk transmission channels is crucial for policy-makers and global investors regarding risk mitigation.
主权CDS溢价的动态连通性分析
本文研究了土耳其、俄罗斯、巴西、南非、中国、德国、法国、意大利和西班牙等9个国家主权信用违约互换(CDS)溢价的溢出动态。每周的CDS数据跨度为2012年7月至2022年6月。采用Diebold和Yılmaz(2014)开发的方法,基于时变参数向量自回归模型(TVP-VAR)生成的广义预测误差方差分解计算多个连通性度量。结果表明,在新冠肺炎疫情和乌克兰战争期间,网络连通性水平显著提高。欧洲市场和发展中国家之间的连通性水平更高。尤其是南非与其他发展中国家之间的连通性水平非常高。研究结果揭示了基于基本面和纯粹传染渠道,并为风险溢出的动态网络提供了洞见。全面了解国际风险传导渠道对决策者和全球投资者在降低风险方面至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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