Markowitz Portfolio Optimization in Stock Market Analysis


The following lecture talks about the Markowitz Portfolio Optimization problem in convex optimization. Indeed, many variants of this problem exists, but the classical one looks like this

    \begin{equation*}\begin{aligned}& \underset{x}{\text{minimize}}& & x^T \Sigma x \\ & \text{subject to}& & \bar{p}^T x \geq r_{min} \\& & & x \geq 0 \\ & & & 1^T x = 1 \end{aligned}\end{equation*}

where x is an n-sized vector containing the amount of assets to invest in. The vector \bar{p} is the mean of the relative price asset change and the matrix \Sigma is the matrix of variance-covariance of assets. The parameter r_{min} is minimum accepted returns.

Learn more about the above problem and its application to the stock market by watching the above lecture.