mean-variance#

Optimized Portfolio Optimization using EIA Data in Python with AMPL#

Notebook_1_Portfolio_Optimization_Commodities.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Portfolio Optimization across Crude Oil, Gold, Natural Gas, Silver, and the S&P 500.

Portfolio Optimization: Factor Model#

portfolio_factor_model.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Mean-Variance Portfolio Optimization model where the risk estimator is not given explicitly but is instead represented by a factor model, as is common in US equity models [1]. The original notebook is [3].