{"title":"基于动态偏斜COPULA模型的高维资产定价收益建模","authors":"Yuting Gong, Jufang Liang, Jie Zhu","doi":"10.21098/BEMP.V22I1.1044","DOIUrl":null,"url":null,"abstract":"We propose a dynamic skewed copula to model multivariate dependence in asset returns in a flexible yet parsimonious way. We then apply the model to 50 exchange traded funds. The new copula is shown to have better in-sample and out-of-sample performance than existing copulas. In particular, the dynamic model is able to capture increasing dependence patterns during the \u0085fixnancial crisis periods. It is crucial for investors to take dynamic dependence structure into account when modeling high dimensional returns.","PeriodicalId":36737,"journal":{"name":"Buletin Ekonomi Moneter dan Perbankan","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MODELING HIGH DIMENSIONAL ASSET PRICING RETURNS USING A DYNAMIC SKEWED COPULA MODEL\",\"authors\":\"Yuting Gong, Jufang Liang, Jie Zhu\",\"doi\":\"10.21098/BEMP.V22I1.1044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a dynamic skewed copula to model multivariate dependence in asset returns in a flexible yet parsimonious way. We then apply the model to 50 exchange traded funds. The new copula is shown to have better in-sample and out-of-sample performance than existing copulas. In particular, the dynamic model is able to capture increasing dependence patterns during the \\u0085fixnancial crisis periods. It is crucial for investors to take dynamic dependence structure into account when modeling high dimensional returns.\",\"PeriodicalId\":36737,\"journal\":{\"name\":\"Buletin Ekonomi Moneter dan Perbankan\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Buletin Ekonomi Moneter dan Perbankan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21098/BEMP.V22I1.1044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buletin Ekonomi Moneter dan Perbankan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21098/BEMP.V22I1.1044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
MODELING HIGH DIMENSIONAL ASSET PRICING RETURNS USING A DYNAMIC SKEWED COPULA MODEL
We propose a dynamic skewed copula to model multivariate dependence in asset returns in a flexible yet parsimonious way. We then apply the model to 50 exchange traded funds. The new copula is shown to have better in-sample and out-of-sample performance than existing copulas. In particular, the dynamic model is able to capture increasing dependence patterns during the fixnancial crisis periods. It is crucial for investors to take dynamic dependence structure into account when modeling high dimensional returns.