预测破产:评估金融危机发生可能性和严重程度的一种新的周期性系统性风险指标

J. Lang, Cosimo Izzo, S. Fahr, J. Růžička
{"title":"预测破产:评估金融危机发生可能性和严重程度的一种新的周期性系统性风险指标","authors":"J. Lang, Cosimo Izzo, S. Fahr, J. Růžička","doi":"10.2139/ssrn.3334835","DOIUrl":null,"url":null,"abstract":"This paper presents a tractable, transparent and broad-based domestic cyclical systemic risk indicator (d-SRI) that captures risks stemming from domestic credit, real estate markets, asset prices, and external imbalances. The d-SRI increases on average several years before the onset of systemic financial crises, and its early warning properties for euro area countries are superior to those of the total credit-to-GDP gap. In addition, the level of the d-SRI around the start of financial crises is highly correlated with measures of subsequent crisis severity, such as GDP declines. Model estimates suggest that the d-SRI has significant predictive power for large declines in real GDP growth three to four years down the line, as it precedes shifts in the entire distribution of future real GDP growth and especially of its left tail. The d-SRI therefore provides useful information about both the probability and the likely cost of systemic financial crises many years in advance. Given its timely signals, the d-SRI is a useful analytical tool for macroprudential policymakers. JEL Classification: G01, G17, C22, C54","PeriodicalId":123550,"journal":{"name":"Financial Crises eJournal","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"Anticipating the Bust: A New Cyclical Systemic Risk Indicator to Assess the Likelihood and Severity of Financial Crises\",\"authors\":\"J. Lang, Cosimo Izzo, S. Fahr, J. Růžička\",\"doi\":\"10.2139/ssrn.3334835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a tractable, transparent and broad-based domestic cyclical systemic risk indicator (d-SRI) that captures risks stemming from domestic credit, real estate markets, asset prices, and external imbalances. The d-SRI increases on average several years before the onset of systemic financial crises, and its early warning properties for euro area countries are superior to those of the total credit-to-GDP gap. In addition, the level of the d-SRI around the start of financial crises is highly correlated with measures of subsequent crisis severity, such as GDP declines. Model estimates suggest that the d-SRI has significant predictive power for large declines in real GDP growth three to four years down the line, as it precedes shifts in the entire distribution of future real GDP growth and especially of its left tail. The d-SRI therefore provides useful information about both the probability and the likely cost of systemic financial crises many years in advance. Given its timely signals, the d-SRI is a useful analytical tool for macroprudential policymakers. JEL Classification: G01, G17, C22, C54\",\"PeriodicalId\":123550,\"journal\":{\"name\":\"Financial Crises eJournal\",\"volume\":\"151 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Crises eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3334835\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Crises eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3334835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 46

摘要

本文提出了一个易于处理、透明和基础广泛的国内周期性系统性风险指标(d-SRI),该指标捕捉了来自国内信贷、房地产市场、资产价格和外部失衡的风险。d-SRI平均在系统性金融危机爆发前几年增加,其对欧元区国家的早期预警性能优于总信贷与gdp差距。此外,金融危机开始前后的d-SRI水平与随后的危机严重程度(如GDP下降)高度相关。模型估计表明,d-SRI对未来三到四年实际GDP增长的大幅下降具有显著的预测能力,因为它先于未来实际GDP增长的整个分布,特别是其左尾的变化。因此,d-SRI提前多年提供了有关系统性金融危机的概率和可能成本的有用信息。鉴于其及时的信号,d-SRI对宏观审慎政策制定者来说是一个有用的分析工具。JEL分类:G01, G17, C22, C54
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anticipating the Bust: A New Cyclical Systemic Risk Indicator to Assess the Likelihood and Severity of Financial Crises
This paper presents a tractable, transparent and broad-based domestic cyclical systemic risk indicator (d-SRI) that captures risks stemming from domestic credit, real estate markets, asset prices, and external imbalances. The d-SRI increases on average several years before the onset of systemic financial crises, and its early warning properties for euro area countries are superior to those of the total credit-to-GDP gap. In addition, the level of the d-SRI around the start of financial crises is highly correlated with measures of subsequent crisis severity, such as GDP declines. Model estimates suggest that the d-SRI has significant predictive power for large declines in real GDP growth three to four years down the line, as it precedes shifts in the entire distribution of future real GDP growth and especially of its left tail. The d-SRI therefore provides useful information about both the probability and the likely cost of systemic financial crises many years in advance. Given its timely signals, the d-SRI is a useful analytical tool for macroprudential policymakers. JEL Classification: G01, G17, C22, C54
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