{"title":"韩国债券市场的信用利差溢出效应","authors":"Shi-Hwan Lee, Hangyong Lee","doi":"10.17256/jer.2015.20.1.002","DOIUrl":null,"url":null,"abstract":"Following Diebold and Yilmaz (2009, 2012) with generalized fore - cast error variance decompositions, we measure spillover effects across the credit spreads of different bond ratings in Korea. The es - timation results suggest that approximately 35 percent of the fluc - tuations in credit spreads are explained by spillover effects. We also find asymmetry in the spillover effects: a shock to a credit spread tends to spillover more strongly into lower-rated spreads than into higher rated spreads. Rolling regression and sub-sample results re - veal that spillover effects are stronger during the period of financial crisis","PeriodicalId":90860,"journal":{"name":"International journal of economic research","volume":"24 1","pages":"21-38"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spillover effects across credit spreads in Korean bond market\",\"authors\":\"Shi-Hwan Lee, Hangyong Lee\",\"doi\":\"10.17256/jer.2015.20.1.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Following Diebold and Yilmaz (2009, 2012) with generalized fore - cast error variance decompositions, we measure spillover effects across the credit spreads of different bond ratings in Korea. The es - timation results suggest that approximately 35 percent of the fluc - tuations in credit spreads are explained by spillover effects. We also find asymmetry in the spillover effects: a shock to a credit spread tends to spillover more strongly into lower-rated spreads than into higher rated spreads. Rolling regression and sub-sample results re - veal that spillover effects are stronger during the period of financial crisis\",\"PeriodicalId\":90860,\"journal\":{\"name\":\"International journal of economic research\",\"volume\":\"24 1\",\"pages\":\"21-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of economic research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17256/jer.2015.20.1.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of economic research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17256/jer.2015.20.1.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spillover effects across credit spreads in Korean bond market
Following Diebold and Yilmaz (2009, 2012) with generalized fore - cast error variance decompositions, we measure spillover effects across the credit spreads of different bond ratings in Korea. The es - timation results suggest that approximately 35 percent of the fluc - tuations in credit spreads are explained by spillover effects. We also find asymmetry in the spillover effects: a shock to a credit spread tends to spillover more strongly into lower-rated spreads than into higher rated spreads. Rolling regression and sub-sample results re - veal that spillover effects are stronger during the period of financial crisis