Cyclical Patterns of Systemic Risk Metrics: Cross-Country Analysis

P. Iossifov, T. Schmidt
{"title":"Cyclical Patterns of Systemic Risk Metrics: Cross-Country Analysis","authors":"P. Iossifov, T. Schmidt","doi":"10.5089/9781513568652.001","DOIUrl":null,"url":null,"abstract":"We analyze a range of macrofinancial indicators to extract signals about cyclical systemic risk across 107 economies over 1995–2020. We construct composite indices of underlying liquidity, solvency and mispricing risks and analyze their patterns over the financial cycle. We find that liquidity and solvency risk indicators tend to be counter-cyclical, whereas mispricing risk ones are procyclical, and they all lead the credit cycle. Our results lend support to high-level accounts that risks were underestimated by stress indicators in the run-up to the 2008 global financial crisis. The policy implications of conflicting risk signals would depend on the phase of the credit cycle.","PeriodicalId":251522,"journal":{"name":"Risk Management & Analysis in Financial Institutions eJournal","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Management & Analysis in Financial Institutions eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5089/9781513568652.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

We analyze a range of macrofinancial indicators to extract signals about cyclical systemic risk across 107 economies over 1995–2020. We construct composite indices of underlying liquidity, solvency and mispricing risks and analyze their patterns over the financial cycle. We find that liquidity and solvency risk indicators tend to be counter-cyclical, whereas mispricing risk ones are procyclical, and they all lead the credit cycle. Our results lend support to high-level accounts that risks were underestimated by stress indicators in the run-up to the 2008 global financial crisis. The policy implications of conflicting risk signals would depend on the phase of the credit cycle.
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
系统性风险度量的周期模式:跨国分析
我们分析了一系列宏观金融指标,以提取1995-2020年间107个经济体的周期性系统性风险信号。我们构建了潜在流动性、偿付能力和错误定价风险的综合指数,并分析了它们在金融周期中的模式。我们发现流动性和偿付能力风险指标倾向于逆周期,而错误定价风险指标则倾向于顺周期,并且它们都引领信贷周期。我们的研究结果支持了高层的说法,即在2008年全球金融危机爆发之前,压力指标低估了风险。相互矛盾的风险信号对政策的影响将取决于信贷周期的阶段。
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
XVA Estimates with Empirical Martingale Simulation Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting? Sensitivities-Based Method and Expected Shortfall for Market Risk Under FRTB and Its Impact on Options Risk Capital A 2-Factor model for inclusion of Voluntary Termination Risk in Automotive Retail Loan Portfolios Lessons from Estimating the Average Option-implied Volatility Term Structure for the Spanish Banking Sector
×
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