  In this paper, a time series model with coefficients that take values from
random matrix ensembles is proposed. Formal definitions, theoretical solutions,
and statistical properties are derived. Estimation and forecast methodologies
for random matrix time series are discussed with examples. Random matrix
differential equations and potential applications of the time series model are
suggested at the end.
