We propose deep neural network algorithms to calculate the efficient frontier in mean–variance and mean–conditional value-at-risk (mean–CVaR) portfolio optimization problems. Starting with the ...
This project demonstrates the full workflow of portfolio construction for 10 large NYSE stocks, combining Fama–French 3-factor regression analysis with Markowitz mean-variance optimization in Excel.
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