LAMN property for the drift and volatility parameters of a sde driven by a stable Lévy process

Author:

Clément Emmanuelle,Gloter Arnaud,Nguyen Huong

Abstract

This work focuses on the local asymptotic mixed normality (LAMN) property from high frequency observations, of a continuous time process solution of a stochastic differential equation driven by a truncated α-stable process with index α ∈ (0, 2). The process is observed on the fixed time interval [0,1] and the parameters appear in both the drift coefficient and scale coefficient. This extends the results of Clément and Gloter [Stoch. Process. Appl. 125 (2015) 2316–2352] where the index α ∈ (1, 2) and the parameter appears only in the drift coefficient. We compute the asymptotic Fisher information and find that the rate in the LAMN property depends on the behavior of the Lévy measure near zero. The proof relies on the small time asymptotic behavior of the transition density of the process obtained in Clément et al. [Preprint HAL-01410989v2 (2017)].

Publisher

EDP Sciences

Subject

Statistics and Probability

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LAMN property for jump diffusion processes with discrete observations on a fixed time interval;Journal of Statistical Planning and Inference;2023-07

2. Hellinger and total variation distance in approximating Lévy driven SDEs;The Annals of Applied Probability;2023-06-01

3. Estimation in Barndorff Nielsen- Shephard Ornstein–Uhlenbeck Stochastic Volatility Models;Parameter Estimation in Stochastic Volatility Models;2022

4. Parameter estimation for a discrete time model driven by fractional Poisson process;Communications in Statistics - Theory and Methods;2021-09-08

5. Drift estimation for a Lévy-driven Ornstein–Uhlenbeck process with heavy tails;Statistical Inference for Stochastic Processes;2020-03-27

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