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A Weak Law of Large Numbers for a Class of Non-Stationary Vector ARMA Processes with One Unit Root
Stochastic Analysis and Applications (1996)
  • Jacob Tsao, San Jose State University
Abstract

This paper identifies a class of non-stationary vector ARMA processes with one unit characteristic root that can be used to model multiple time series that stablize together. Analysis of ARMA processes with unit roots is generally more difficult because of their probabilistic roperties. In particular, general theory of law of large numbers and central limit theory do not apply to tandardized sums of the realizations of these processes. However, this paper establishes a weak law of large numbers for a useful class of such processes.

Publication Date
1996
Citation Information
Jacob Tsao. "A Weak Law of Large Numbers for a Class of Non-Stationary Vector ARMA Processes with One Unit Root" Stochastic Analysis and Applications Vol. 14 Iss. 3 (1996)
Available at: http://works.bepress.com/jacob_tsao/29/