PRMIA PRM Certification - Exam II: Mathematical Foundations of Risk Measurement 8002 Question # 14 Topic 2 Discussion

PRMIA PRM Certification - Exam II: Mathematical Foundations of Risk Measurement 8002 Question # 14 Topic 2 Discussion

8002 Exam Topic 2 Question 14 Discussion:
Question #: 14
Topic #: 2

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


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