A corrected algorithm for computing the theoretical autocovariance matrices of a vector ARMA model

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1995

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Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE)
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Ansley, C. F. (1980), "Computation of the Theoretical Autocovariance Function for a Vector ARMA Process," Journal of Statistical Computation and Simulation, 12, 15-24. Hall, A. D. and Nicholls, D. F. (1980), "The Evaluation of Exact Maximun Likelihood Estimates for VARMA Models," Journal of Statistical Computation and Simulanon, 10,251-262. Jenkins, G. M. and Alavi, A. S. (1981), "Some Aspects of Modeling and Forecasting Multivariate Time Series," Journal of Time Series Analysis, 2,1-47. Kohn, R. and Ansley, C. F. (1982), "A Note on Obtaining the Theoretical Autocovariances of an ARMA Process," Journal of Statistical Computation and Simulafion, 15,273-283. Mauricio, J. A. (1995), "Exact Maximum Likelihood Estimation of Stationary Vector ARMA Models," Journal of the American Statistical Association, 90,282-291. Moler, C. B. (1972), "Algoritlun 423: Linear Equation Solver," Communications of the Association for Computing Machinery, 15, 274. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P (1992), Numerical Recipes in C (2nd edition), Cambridge: Cambridge University Press. Shea, .B. L. (1988), "A Note on the Generation of Independent Realizations of a Vector Autoregressive Moving Average Process," Journal of Time Series Analysis, 9, 403-410. Shea, B. L. (1989), "Algoritbm AS 242: The Exact Likelihood of a Vector Autoregressive Moving-Average Model," Applied Statistics, 38,161-204.
Abstract
The algorithm of Kohn and Ansley(1982)is reconsidered here, in arder to correct several implementation errors concerning the construction of the linear equations that must be solved for computing the theoretical autocovariance matrices of a vector ARMA model. This note presents a concise description of the corrected algorithm.
En esta nota se corrigen algunos errores del algoritmo de Kohn y Ansley (1982), que tienen que ver con la construcción de un sistema de ecuaciones lineales para calcular las matrices de autocovarianzas teóricas de un modelo ARMA multivariante.
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