Testing for pure-jump processes for high-frequency data
نویسندگان
چکیده
منابع مشابه
Nonparametric Estimation for Pure Jump Lévy Processes Based on High Frequency Data
Abstract. In this paper, we study nonparametric estimation of the Lévy density for pure jump Lévy processes. We consider n discrete time observations with step ∆. The asymptotic framework is: n tends to infinity, ∆ = ∆n tends to zero while n∆n tends to infinity. First, we use a Fourier approach (“frequency domain”): this allows to construct an adaptive nonparametric estimator and to provide a b...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2015
ISSN: 0090-5364
DOI: 10.1214/14-aos1298