strikethree

Correct Answer should be A. They both assume variance covariance matrix is stable.

Historical assumes past performance is representative of the future ==> Historical variance covariance matrix is the same as the one for the future (it is stable).

Montle carlo simulation generates random numbers - BUT it has to be given an underlying distribution to draw from. Once you specify a distribution, you are indeed specifying a variance covariance matrix.