The effect of (mis-specified) GARCH filters on the finite sample distribution of the BDS test

Chris Brooks, Saeed M. Heravi

Research output: Contribution to journalArticle (Academic Journal)peer-review

31 Citations (Scopus)

Abstract

This paper considers the effect of using a GARCH filter on the properties of the BDS test statistic as well as a number of other issues relating to the application of the test. It is found that, for certain values of the user-adjustable parameters, the finite sample distribution of the test is far-removed from asymptotic normality. In particular, when data generated from some completely different model class are filtered through a GARCH model, the frequency of rejection of iid falls, often substantially. The implication of this result is that it might be inappropriate to use non-rejection of iid of the standardised residuals of a GARCH model as evidence that the GARCH model 'fits' the data.
Original languageEnglish
Pages (from-to)147-162
Number of pages16
JournalComputational Economics
Volume13
Issue number2
DOIs
Publication statusPublished - 1999

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