Nonparametric tests for detecting breaks in the jump behaviour of a time-continuous process Article Swipe
Related Concepts
Mathematics
Semimartingale
Jump
Quantile
Nonparametric statistics
Applied mathematics
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Weak convergence
Multiplier (economics)
Jump process
Statistical physics
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Statistics
Computer science
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Asset (computer security)
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Macroeconomics
Axel Bücher
,
Michael Hoffmann
,
Mathias Vetter
,
Holger Dette
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3150/15-bej780
· OA: W2150387476
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3150/15-bej780
· OA: W2150387476
This paper is concerned with tests for changes in the jump behaviour of a time-continuous process. Based on results on weak convergence of a sequential empirical tail integral process, asymptotics of certain test statistics for breaks in the jump measure of an Itô semimartingale are constructed. Whenever limiting distributions depend in a complicated way on the unknown jump measure, empirical quantiles are obtained using a multiplier bootstrap scheme. An extensive simulation study shows a good performance of our tests in finite samples.
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