Estimation of the parameters of vector autoregressive moving average (VARMA) time series model with symmetric stable noise

In this article, we propose the fractional lower-order covariance method (FLOC) for estimating the parameters of vector autoregressive moving average process (VARMA) of order p, q such that p,q≥1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p, q\ge 1$$\end{document} with symmetric stable noise. Further, we show the efficiency, accuracy and simplicity of our methods through Monte Carlo simulation.