English

Explicit Form of Coefficients in any MA(2) Process

Statistics Theory 2014-05-29 v1 Statistics Theory

Abstract

We shall show that for {\it any} MA(2)MA(2) process (apart from those with coefficients θ1,θ2\theta_1,\theta_2 lying on certain line-segments) there is {\it one and only one invertible} MA(2)MA(2) process with the {\it same} autocovariances γ0,γ1,γ2\gamma_0,\gamma_1,\gamma_2. It is this invertible version which computer-packages fit, regardless, even if data came from a non-invertible MA(2)MA(2) process. This has consequences for prediction from a fitted process, inasmuch as such prediction would seem to be inappropriate. We express the coefficients θ1,θ2\theta_1,\theta_2 of the invertible version in terms of γ0,γ1,γ2\gamma_0,\gamma_1,\gamma_2 explicitly using analytical reasoning, following a graphical approach of Sbrana (2012) which indicates this result within the invertibility region. We also express (θ1,θ2)(\theta_1,\theta_2) in the non-invertibility region.

Keywords

Cite

@article{arxiv.1405.7067,
  title  = {Explicit Form of Coefficients in any MA(2) Process},
  author = {Simon Ku and Eugene Seneta},
  journal= {arXiv preprint arXiv:1405.7067},
  year   = {2014}
}
R2 v1 2026-06-22T04:24:38.903Z