Every covariance matrix must be positive semi-definite. If it were not then:

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Every covariance matrix must be positive semi-definite. If it were not then:
A . Some portfolios could have a negative variance
B . One or more of its eigenvalues would be negative
C . There would be no Cholesky decomposition matrix
D . All the above statements are true

Answer: D