This contribution reports the results for EE2 Test 2.1a and Test 2.1b which were proposed in JVET-AD0100. The method proposes a new convolutional cross-component model which uses block vectors of the co-located IBC or intraTMP coded luma blocks to identify the reference area for deriving the CCCM model. The proposed block vector guided CCCM (BVG-CCCM) method uses an 11-tap filter for cross-component prediction. The mode is signalled with a context coded flag which is conditioned on co-located luma block’s mode. Two tests are conducted in this EE. In Test 2.1a, the block vectors of IBC coded blocks from co-located luma are used for determining the CCCM reference area. Whereas, in Tests 2.1b, the mode can use block vectors of both IBC and intraTMP coded blocks from co-located luma to determine the CCCM reference area. The prediction part is done as in ECM-9.0 where the co-located luma block samples are used. The impact on coding efficiency and runtimes of the tests over ECM-9.0 are reportedly {for Y, U, V, EncT, DecT}: