Improving Fractional Integration Tests With Bootstrap Distributions
Asymptotic tests for fractional integration are usually badly sized in small samples, even for normally distributed processes. Furthermore, tests that are well-sized under normality may be severely distorted by non-normalities and ARCH errors. This paper demonstrates how the bootstrap can be implemented to correct for such size distortions.
|Date of creation:||01 Jun 2000|
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