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See also: Time series in ModelRisk, Vose Multivariate Time Series window
VoseTimeMultiAR2({Mu},{Phi1},{Phi2},{CovMatrix},{y0},{y-1},LogReturn,{LastValues},Data_in_rows)
Array function that simulates from a Multivariate Auto-Regressive time series model of order 2.
{Mu} - Array of mean values for each marginal Normal distribution.
{Phi1} - First matrix with autoregression parameters.
{Phi2} - Second matrix with autoregression parameters.
{CovMatrix} - covariance matrix.
{y0} - logreturns array at period 0.
{y-1} - logreturns array at period -1.
LogReturn - Optional parameter specifying whether to return the actual time series (FALSE, default) or the log returns.
{LastValues} - array of last known historic values to start forecast from.
Data_in_rows - optional parameter that specifies if the data is in rows (TRUE) or columns (FALSE, default).
VoseTimeMultiAR2 - generates an array of random values from this time series.
VoseTimeMultiAR2Object - creates an object for this time series.