Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/60961
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dc.contributor政大經濟系en_US
dc.creatorWang,Gaowen;Mao,Wei-Linen_US
dc.date2008-05en_US
dc.date.accessioned2013-09-16T09:31:46Z-
dc.date.available2013-09-16T09:31:46Z-
dc.date.issued2013-09-16T09:31:46Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/60961-
dc.description.abstractWe derive the asymptotic distributions of the Dickey–Fuller (DF) and augmented DF (ADF) tests for unit root processes with Generalized Autoregressive Conditional Heteroscedastic (GARCH) errors under fairly mild conditions. We show that the asymptotic distributions of the DF tests and ADF t-type test are the same as those obtained in the independent and identically distributed Gaussian cases, regardless of whether the fourth moment of the underlying GARCH process is finite or not. Our results go beyond earlier ones by showing that the fourth moment condition on the scaled conditional errors is totally unnecessary. Some Monte Carlo simulations are provided to illustrate the finite-sample-size properties of the tests.en_US
dc.format.extent185044 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.relationAustralian & New Zealand Journal of Statistics, 50(3), 273-292en_US
dc.subjectaugmented Dickey–Fuller tests;Lindeberg condition;martingale invariance principle;self-normalized sumsen_US
dc.titleUnit root testing in the presence of heavy-tailed GARCH errorsen_US
dc.typearticleen
dc.identifier.doi10.1111/j.1467-842X.2008.00517.x-
dc.doi.urihttp://dx.doi.org/10.1111/j.1467-842X.2008.00517.x-
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
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