  Continuous-time autoregressive moving average (CARMA) processes have recently
been used widely in the modeling of non-uniformly spaced data and as a tool for
dealing with high-frequency data of the form $Y_{n\Delta}, n=0,1,2,...$, where
$\Delta$ is small and positive. Such data occur in many fields of application,
particularly in finance and the study of turbulence. This paper is concerned
with the characteristics of the process $(Y_{n\Delta})_{n\in\bbz}$, when
$\Delta$ is small and the underlying continuous-time process $(Y_t)_{t\in\bbr}$
is a specified CARMA process.
