arXiv · 1509.06422
Quasi-MLE for quadratic ARCH model with long memory
Abstract
We discuss parametric quasi-maximum likelihood estimation for quadratic ARCH process with long memory introduced in Doukhan et al. (2015) and Grublyt\.e and \v{S}karnulis (2015) with conditional variance given by a strictly positive quadratic form of observable stationary sequence. We prove consistency and asymptotic normality of the corresponding QMLE estimates, including the estimate of long memory parameter $0< d < 1/2$. A simulation study of empirical MSE is included.
Explore related subjects
Keep this discovery
Ieva Grublytė, Donatas Surgailis, Andrius Škarnulis. 2015-09-21. Quasi-MLE for quadratic ARCH model with long memory. https://arxiv.org/abs/1509.06422
Cite the original work for its findings. Save a collection to share your selection of sources.