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Improving Fractional Integration Tests With Bootstrap Distributions

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Author Info
Andersson, Michael K. () (National Institute of Economic Research)
Gredenhoff, Mikael P. (AGL Structure Finance)
Abstract

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.

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File URL: http://www.konj.se/download/18.2f48d2f18732142c7fff557/wp74.pdf
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Publisher Info
Paper provided by National Institute of Economic Research in its series Working Paper with number 74.

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Length: 18 pages
Date of creation: 01 Jun 2000
Date of revision:
Handle: RePEc:hhs:nierwp:0074

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Related research
Keywords: Long memory; Resampling; Skewness and kurtosis; ARCH; Size correction; Power;

Find related papers by JEL classification:
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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