Bootstrap misspecification tests for ARCH based on the empirical process of squared residuals
Piotr Kokoszka and
No 2003009, CORE Discussion Papers from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
We propose and study by means of simulations and graphical tools a class of goodness-of-ﬁt tests for ARCH models. The tests are based on the empirical distribution function of squared residuals and smooth (parametric) bootstrap. We examine empirical size and power by means of a simulation study. While the tests have overall correct size, their power strongly depends on the type of alternative and is particularly high when the assumption of Gaussian innovations is violated. As an example, the tests are applied to returns on Foreign Exchange rates.
Keywords: ARCH models; empirical process; goodness-of-ﬁt tests; size-power curves; smooth bootstrap; squared residuals (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:2003009
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