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

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

View Answer

Answer: D