LIMIT THEOREMS FOR NONDEGENERATE U-STATISTICS OF CONTINUOUS SEMIMARTINGALES
成果类型:
Article
署名作者:
Podolskij, Mark; Schmidt, Christian; Ziegel, Johanna F.
署名单位:
Ruprecht Karls University Heidelberg; University of Bern
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/13-AAP983
发表日期:
2014
页码:
2491-2526
关键词:
asymptotic properties
mean difference
dependent data
functionals
volatility
dimension
models
摘要:
This paper presents the asymptotic theory for nondegenerate U-statistics of high frequency observations of continuous Ito semimartingales. We prove uniform convergence in probability and show a functional stable central limit theorem for the standardized version of the U-statistic. The limiting process in the central limit theorem turns out to be conditionally Gaussian with mean zero. Finally, we indicate potential statistical applications of our probabilistic results.