Language Reference

TSPRED Call

provides predicted values of univariate and multivariate ARMA processes when the ARMA coefficients are input

CALL TSPRED( forecast, impulse, mse, data, coef, nar, nma
           <,ev, npred, start, constant>);

The inputs to the TSPRED subroutine are as follows:


data
specifies a t x m data matrix if the intercept is not included, where t denotes the length of the time series and m is the number of variables to be analyzed. If the univariate time series is analyzed, the input data should be a column vector.

coef
refers to the m(p+q) x m ARMA coefficient matrix, where p is an AR order and q is an MA order. If the intercept term is included (constant=1), the first row of the coefficient matrix is considered as the intercept term and the coefficient matrix is an m(p+q+1) x m matrix. If there are missing values in the coef matrix, these are converted to zero.

nar
specifies the order of the AR process. If the subset AR process is requested, nar should be a row or column vector. The default is nar=0.

nma
specifies the order of the MA process. If the subset MA process is requested, nma should be a vector. The default is nma=0.

ev
specifies the error variance matrix. If the ev matrix is not provided, the prediction error covariance will not be computed.

npred
specifies the maximum length of multistep forecasting. The default is npred=0.

start
specifies the position where the multistep forecast starts. The default is start=t.

constant
specifies the intercept option. No intercept estimate is included if constant=0; otherwise, the intercept estimate is included in the first row of the coefficient matrix. If constant=-1, the coefficient matrix is estimated by using mean deleted series. By default, constant=0.

The TSPRED subroutine returns the following values:


forecast
refers to predicted values.

impulse
refers to the impulse response function.

mse
refers to the mean square error of s-step-ahead forecast. A scalar missing value is returned if the error variance (ev) is not provided.

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