This lecture by the instructor covers portfolio optimization under uncertainty, focusing on various decision criteria such as expected value, variance, value-at-risk, and conditional value-at-risk. Different models are presented, including mean-variance functional and value-at-risk minimization, highlighting their implications and practical performance.
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