The Asymptotic Properties of the Sample Autocorrelations for a Multiple Autoregressive Process with One Unit Root
In this paper the large sample behaviour of the sample autocorrelation matrix Rn(h), (h being the lag, n the sample size), of a multivariate autoregressive time series with one of its characteristic roots equal to unity and the rest of the roots lying inside the unit circle is studied. It is shown that Rn(h) converges almost surely to a constant matrix. Further, the asymptotic distribution of Rn(h) is characterized as that of a random matrix which is a function of jointly normal random variables.
V. A. Samaranayake and D. P. Hasza, "The Asymptotic Properties of the Sample Autocorrelations for a Multiple Autoregressive Process with One Unit Root," Journal of Time Series Analysis, Wiley-Blackwell, Jan 1987.
The definitive version is available at https://doi.org/10.1111/j.1467-9892.1987.tb00422.x
Mathematics and Statistics
Keywords and Phrases
multivariate time series; autoregression; nonstationarity; asymptotic behaviour; sample autocorrelations
International Standard Serial Number (ISSN)
Article - Journal
© 1987 Wiley-Blackwell, All rights reserved.