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Change-point inference on volatility in noisy Itô semimartingales (1711.08736v2)
Published 23 Nov 2017 in math.ST, math.PR, and stat.TH
Abstract: This work is concerned with tests on structural breaks in the spot volatility process of a general It^o semimartingale based on discrete observations contaminated with i.i.d. microstructure noise. We construct a consistent test building up on infill asymptotic results for certain functionals of spectral spot volatility estimates. A weak limit theorem is established under the null hypothesis relying on extreme value theory. We prove consistency of the test and of an associated estimator for the change point. A simulation study illustrates the finite-sample performance of the method and efficiency gains compared to a skip-sampling approach.