The practice of modelling the components of a vector time series to ar
rive at a joint model for the vector is considered. It is shown that i
n some cases this is not unreasonable. A vector ARMA model is used to
model the Canadian money and income data. We also use these data to di
scuss the issue of differencing a multiple time series. Finally, model
s based on first and second differences are compared using forecasts.