- Repair some bugs.
- Implement bootstrapping methods to estimate box and elliptical uncertainty sets for Worst Case Optimization.
- Implement Worst Case Mean Variance Portfolio Optimization using box and elliptical uncertainty sets.
- Repair some bugs.
- Implement Risk Parity Portfolio Optimization for 7 convex risk measures.
- Repair some bugs.
- Update to make it compatible with cvxpy >=1.1.0
- Implement Principal Component Regression for loadings matrix estimation.
- Add Akaike information criterion, Schwarz information criterion, R squared and adjusted R squared feature selection criterions in stepwise regression.
- Repair some bugs.
- Implement an option for building constraints common for all assets classes.
- Repair some bugs.
- Implement robust estimates and ewma estimates.
- Implement Black Litterman model and risk factors models.
- Implement mean risk optimization with 10 risk measures.