{"title":"On Univariate and Multivariate GARCH Models: Oil Price and Stock Market Returns Volatilities","authors":"Amin Guerouah, Halim zeghdoudi, Fatima Zohra Bouseba","doi":"10.2139/ssrn.2888079","DOIUrl":null,"url":null,"abstract":"This paper investigates the empirical properties of oil price and Stock market return volatilities using a range of univariate and multivariate GARCH models and monthly data from the U.S. The study relates the period August 1987 to October 2016, a total of 351 observations given. The aim of this paper is to examine the relationship between stock and oil markets. In addition, we evaluate the performance of each model with a range of diagnostic and forecast performance tests using univariate GARCH(1,1) and bivariate BEKK GARCH(1,1) , DCC GARCH(1,1) models.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Commodity Markets eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2888079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper investigates the empirical properties of oil price and Stock market return volatilities using a range of univariate and multivariate GARCH models and monthly data from the U.S. The study relates the period August 1987 to October 2016, a total of 351 observations given. The aim of this paper is to examine the relationship between stock and oil markets. In addition, we evaluate the performance of each model with a range of diagnostic and forecast performance tests using univariate GARCH(1,1) and bivariate BEKK GARCH(1,1) , DCC GARCH(1,1) models.