{"title":"GARCH标准残差的BDS检验的有限样本容量","authors":"Marcelo Fernandes, P. Preumont","doi":"10.12660/BRE.V32N22012.18608","DOIUrl":null,"url":null,"abstract":"This paper uses a multivariate response surface methodology to analyze the size distortion of the BDS test when applied to standardized residuals of rst-order GARCH processes. The results show that the asymptotic standard normal distribution is an unreliable approximation even in large samples. On the other hand, a simple log-transformation of the squared standardized residuals seems to correct most of the size problems. The estimated response surfaces can nonetheless provide not only a measure of the size distortion, but also more adequate critical values for theBDS test in small samples.","PeriodicalId":332423,"journal":{"name":"Brazilian Review of Econometrics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Finite-Sample Size of the BDS Test for GARCH Standardized Residuals\",\"authors\":\"Marcelo Fernandes, P. Preumont\",\"doi\":\"10.12660/BRE.V32N22012.18608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses a multivariate response surface methodology to analyze the size distortion of the BDS test when applied to standardized residuals of rst-order GARCH processes. The results show that the asymptotic standard normal distribution is an unreliable approximation even in large samples. On the other hand, a simple log-transformation of the squared standardized residuals seems to correct most of the size problems. The estimated response surfaces can nonetheless provide not only a measure of the size distortion, but also more adequate critical values for theBDS test in small samples.\",\"PeriodicalId\":332423,\"journal\":{\"name\":\"Brazilian Review of Econometrics\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Review of Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12660/BRE.V32N22012.18608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Review of Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12660/BRE.V32N22012.18608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Finite-Sample Size of the BDS Test for GARCH Standardized Residuals
This paper uses a multivariate response surface methodology to analyze the size distortion of the BDS test when applied to standardized residuals of rst-order GARCH processes. The results show that the asymptotic standard normal distribution is an unreliable approximation even in large samples. On the other hand, a simple log-transformation of the squared standardized residuals seems to correct most of the size problems. The estimated response surfaces can nonetheless provide not only a measure of the size distortion, but also more adequate critical values for theBDS test in small samples.