Two-step estimation of ergodic L\'evy driven SDE
Statistics Theory
2016-01-12 v6 Statistics Theory
Abstract
We consider high frequency samples from ergodic L\'evy driven stochastic differential equation (SDE) with drift coefficient and scale coefficient involving unknown parameters and . We suppose that the L\'evy measure , has all order moments but is not fully specified. We will prove the joint asymptotic normality of some estimators of , and a class of functional parameter , which are constructed in a two-step manner: first, we use the Gaussian quasi-likelihood for estimation of , and then, for estimating we makes use of the method of moments based on the Euler-type residual with the the previously obtained quasi-likelihood estimator.
Cite
@article{arxiv.1505.01922,
title = {Two-step estimation of ergodic L\'evy driven SDE},
author = {Hiroki Masuda and Yuma Uehara},
journal= {arXiv preprint arXiv:1505.01922},
year = {2016}
}