{"title":"模拟应力事件强度的简单计量经济学方法","authors":"Rainer Jobst, D. Roesch, Harald Scheule, M. Schmelzle","doi":"10.1002/FUT.21695","DOIUrl":null,"url":null,"abstract":"This paper introduces a simple, non‐parametric way of inferring risk‐neutral credit stress event intensities for idiosyncratic, sectoral, and global shocks contained in market credit spreads. We provide an econometric analysis of the implied latent stress event dynamics. A vector autoregressive regression model with exogenous variables finds that these intensities can be related to an observable stock market index, the market volatility, the volatility skew, and treasury yields. © 2014 Wiley Periodicals, Inc. Jrl Fut Mark 35:300–320, 2015","PeriodicalId":11744,"journal":{"name":"ERN: Nonparametric Methods (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Simple Econometric Approach for Modeling Stress Event Intensities\",\"authors\":\"Rainer Jobst, D. Roesch, Harald Scheule, M. Schmelzle\",\"doi\":\"10.1002/FUT.21695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a simple, non‐parametric way of inferring risk‐neutral credit stress event intensities for idiosyncratic, sectoral, and global shocks contained in market credit spreads. We provide an econometric analysis of the implied latent stress event dynamics. A vector autoregressive regression model with exogenous variables finds that these intensities can be related to an observable stock market index, the market volatility, the volatility skew, and treasury yields. © 2014 Wiley Periodicals, Inc. Jrl Fut Mark 35:300–320, 2015\",\"PeriodicalId\":11744,\"journal\":{\"name\":\"ERN: Nonparametric Methods (Topic)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Nonparametric Methods (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/FUT.21695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Nonparametric Methods (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/FUT.21695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
A Simple Econometric Approach for Modeling Stress Event Intensities
This paper introduces a simple, non‐parametric way of inferring risk‐neutral credit stress event intensities for idiosyncratic, sectoral, and global shocks contained in market credit spreads. We provide an econometric analysis of the implied latent stress event dynamics. A vector autoregressive regression model with exogenous variables finds that these intensities can be related to an observable stock market index, the market volatility, the volatility skew, and treasury yields. © 2014 Wiley Periodicals, Inc. Jrl Fut Mark 35:300–320, 2015