In a VECM, A)past values of Y_t - θ X_t help to predict future values of ΔY_t and/or ΔX_t. B)errors are corrected for serial correlation using the Cochrane-Orcutt method. C)current values of Y_t - θ X_t help to predict future values of ΔY_t and/or ΔX_t. D)VAR techniques, such as information criteria, no longer apply.

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VECM (Vector Error Correction Model) uses the error correction term, which is derived from the long-term relationship between variables (represented here as Y_t - θ X_t), to predict future changes in those variables. This means past values of the error correction term help in forecasting future values of the differenced series.