  This paper provides closed-form expansions for the log-likelihood function of
multivariate diffusions sampled at discrete time intervals. The coefficients of
the expansion are calculated explicitly by exploiting the special structure
afforded by the diffusion model. Examples of interest in financial statistics
and Monte Carlo evidence are included, along with the convergence of the
expansion to the true likelihood function.
