Credit Derivatives and Corporate Default Prediction

Xiaoxia Ye, F. Yu, Ran Zhao
{"title":"Credit Derivatives and Corporate Default Prediction","authors":"Xiaoxia Ye, F. Yu, Ran Zhao","doi":"10.2139/ssrn.3578188","DOIUrl":null,"url":null,"abstract":"There have been 91 defaults among U.S. CDS reference entities between 2002 and 2018. Within this sample, the five-year CDS spread significantly enhances the explanatory power of benchmark corporate default prediction models with equity market covariates and firm attributes, both in- and out-of-sample. This finding holds among financial and non-financial firms, and both within and without the great financial crisis. Moreover, the predictive power of the CDS spread is concentrated among entities with higher CDS market liquidity, while the illiquidity component of the CDS spread itself does not explain default. Lastly, neither the corporate bond yield spread nor CDS market indices explain default in the presence of firm-level CDS spreads. These results confirm the relevance of information contained in credit risk pricing to default prediction.","PeriodicalId":293888,"journal":{"name":"Econometric Modeling: Derivatives eJournal","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Derivatives eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3578188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

There have been 91 defaults among U.S. CDS reference entities between 2002 and 2018. Within this sample, the five-year CDS spread significantly enhances the explanatory power of benchmark corporate default prediction models with equity market covariates and firm attributes, both in- and out-of-sample. This finding holds among financial and non-financial firms, and both within and without the great financial crisis. Moreover, the predictive power of the CDS spread is concentrated among entities with higher CDS market liquidity, while the illiquidity component of the CDS spread itself does not explain default. Lastly, neither the corporate bond yield spread nor CDS market indices explain default in the presence of firm-level CDS spreads. These results confirm the relevance of information contained in credit risk pricing to default prediction.
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
信用衍生品与企业违约预测
2002年至2018年期间,美国CDS参考实体发生了91起违约。在样本内和样本外,5年期CDS价差显著增强了带有股票市场协变量和公司属性的基准公司违约预测模型的解释力。这一发现适用于金融和非金融公司,也适用于金融危机前后的公司。此外,CDS价差的预测能力集中在具有较高CDS市场流动性的实体中,而CDS价差本身的非流动性成分并不能解释违约。最后,在公司级CDS息差存在的情况下,公司债券收益率息差和CDS市场指数都无法解释违约。这些结果证实了信用风险定价信息与违约预测的相关性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Macro Hedge for Implicit Options of Type §489 Net Buying Pressure and the Information in Bitcoin Option Trades Futures Contract Collateralization and its Implications Has Manipulation in the VIX Decreased? Optimal Dynamic Futures Portfolio Under a Multifactor Gaussian 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