The Clark and McCracken statistic tests competing nested parametric models. Diebold and Mariano's test is more general, in that the models need not be related. You could compare, for instance, an AR(1) forecast to a regression model's forecast (or a nonlinear model's forecast) of a given series. In Stata, ssc describe dmariano.
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