Local Asymptotic Mixed Normality property for discretely observed stochastic differential equations driven by stable Lévy processes

Emmanuelle Clément and Arnaud Gloter

Stochastic Processes and their Applications, 2015, vol. 125, issue 6, 2316-2352

Abstract: We prove the Local Asymptotic Mixed Normality property from high frequency observations, of a continuous time process solution of a stochastic differential equation driven by a pure jump Lévy process. The process is observed on the fixed time interval [0,1] and the parameter appears in the drift coefficient only. 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 of this result contains a sharp study of the asymptotic behavior, in small time, of the transition probability density of the process and of its logarithm derivative.

Keywords: Local Asymptotic Mixed Normality Property; Lévy process; Stable process; Malliavin calculus for jump processes (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.spa.2015.01.002

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