This model is an example of the classic Markowitz portfolio selection optimization model. We want to find the fraction of the portfolio to invest among a set of stocks that balances risk and return. It is a Quadratic Programming (QP) model with vector and matrix data for returns and risk, respectively. This is best suited to a matrix formulation, so we use the Gurobi Python matrix interface. The basic model is fairly simple, so we also solve it parametrically to find the efficient frontier.
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