Long-range dependent time series specification
Abstract
In this paper we propose using a nonparametric model specification test for parametric time series with long-range dependence (LRD). To establish asymptotic distributions of the proposed test statistic, we develop new central limit theorems for certain weighted quadratic forms of stationary time series with LRD. To implement our proposed test in practice, we develop a computer-intensive parametric bootstrap simulation procedure for finding simulated critical values. As a result, our finite-sample studies demonstrate that both the proposed theory and the simulation procedure work well, and that the proposed test has little size distortion and reasonable power.
Cite
@article{arxiv.1312.2788,
title = {Long-range dependent time series specification},
author = {Jiti Gao and Qiying Wang and Jiying Yin},
journal= {arXiv preprint arXiv:1312.2788},
year = {2013}
}
Comments
Published in at http://dx.doi.org/10.3150/12-BEJ427 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)