Moving block bootstrapping for a CUSUM test for correlation change

Ji Eun Choi, Dong Wan Shin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Based on the test of Wied et al. (2012), we construct a bootstrapping CUSUM test for correlation change. The bootstrap test uses the bootstrap critical value obtained from the distribution of the moving block bootstrap samples. The asymptotic null distribution of the bootstrap test is shown to be the same as that of the original test. Consistency of the bootstrap test is proved under an alternative hypothesis of a correlation change. A Monte Carlo simulation shows that the proposed bootstrap test has a good size performance while the existing tests have serious size distortion for conditionally heteroscedastic samples and for serially correlated samples. The better size of the bootstrap test than the existing tests is achieved at the cost of some power loss in some cases.

Original languageEnglish
Pages (from-to)95-106
Number of pages12
JournalComputational Statistics and Data Analysis
Volume135
DOIs
StatePublished - Jul 2019

Keywords

  • Bootstrap test
  • CUSUM test
  • Conditional heteroscedasticity
  • Moving block bootstrapping
  • Serially correlation

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