{"title":"有色金属期货R-Vine Copula分析及其在风险价值预测中的应用","authors":"Xuyuan Han, Zhenya Liu, Shixuan Wang","doi":"10.2139/ssrn.3619728","DOIUrl":null,"url":null,"abstract":"We employ the R-vine copula approach to study the dependence structures among non-ferrous metal commodity futures on the London Metal Exchange, focusing on the comparison before and after the 2008 financial crisis. We document that the center of dependence structure among non-ferrous metal futures has changed from copper to zinc after the crisis. We find that the risk diversification benefit among non-ferrous metals diminishes after the crisis, and there is a significantly increase in their tail dependence. We further develop a R-vine copula-based method for forecasting Value-at-Risk, and the back-testing results show superior forecast accuracy over benchmark methods. Our study is useful for market participants to enhance their risk management for non-ferrous metals.<br>","PeriodicalId":203996,"journal":{"name":"ERN: Value-at-Risk (Topic)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A R-Vine Copula Analysis of Non-ferrous Metal Futures with Application in Forecasting Value-at-Risk\",\"authors\":\"Xuyuan Han, Zhenya Liu, Shixuan Wang\",\"doi\":\"10.2139/ssrn.3619728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We employ the R-vine copula approach to study the dependence structures among non-ferrous metal commodity futures on the London Metal Exchange, focusing on the comparison before and after the 2008 financial crisis. We document that the center of dependence structure among non-ferrous metal futures has changed from copper to zinc after the crisis. We find that the risk diversification benefit among non-ferrous metals diminishes after the crisis, and there is a significantly increase in their tail dependence. We further develop a R-vine copula-based method for forecasting Value-at-Risk, and the back-testing results show superior forecast accuracy over benchmark methods. Our study is useful for market participants to enhance their risk management for non-ferrous metals.<br>\",\"PeriodicalId\":203996,\"journal\":{\"name\":\"ERN: Value-at-Risk (Topic)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Value-at-Risk (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3619728\",\"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: Value-at-Risk (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3619728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A R-Vine Copula Analysis of Non-ferrous Metal Futures with Application in Forecasting Value-at-Risk
We employ the R-vine copula approach to study the dependence structures among non-ferrous metal commodity futures on the London Metal Exchange, focusing on the comparison before and after the 2008 financial crisis. We document that the center of dependence structure among non-ferrous metal futures has changed from copper to zinc after the crisis. We find that the risk diversification benefit among non-ferrous metals diminishes after the crisis, and there is a significantly increase in their tail dependence. We further develop a R-vine copula-based method for forecasting Value-at-Risk, and the back-testing results show superior forecast accuracy over benchmark methods. Our study is useful for market participants to enhance their risk management for non-ferrous metals.