A fluctuation test for constant Spearman’s rho with nuisance-free limit distribution

Dominik Wied, Herold Dehling, Maarten van Kampen and Daniel Vogel

Computational Statistics & Data Analysis, 2014, vol. 76, issue C, 723-736

Abstract: A CUSUM type test for constant correlation that goes beyond a previously suggested correlation constancy test by considering Spearman’s rho in arbitrary dimensions is proposed. Since the new test does not require the existence of any moments, the applicability on usually heavy-tailed financial data is greatly improved. The asymptotic null distribution is calculated using an invariance principle for the sequential empirical copula process. The limit distribution is free of nuisance parameters and critical values can be obtained without bootstrap techniques. A local power result and an analysis of the behavior of the test in small samples are provided.

Keywords: Copula; Mixing; Multivariate sequential rank order process; Robustness; Structural break (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:76:y:2014:i:c:p:723-736

DOI: 10.1016/j.csda.2013.03.005

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