|Create Portfolio object for mean-variance portfolio optimization and analysis|
Mean-variance portfolio optimization problems require estimates for the mean and covariance of asset returns.
The Portfolio object uses a separate
that stores the rate of return of a riskless asset.
The difference between net and gross portfolio returns is transaction costs.
This example shows how to set up a basic asset allocation problem that uses mean-variance portfolio optimization with a
Portfolio object to estimate efficient portfolios.
The following sequence of examples highlights features of the Portfolio object in the Financial Toolbox™.
This example shows how to use the
setBudget function for the
Portfolio class to define the limits on the
sum(AssetWeight_i) in risky assets.
This example shows how to use a
Portfolio object to directly handle semicontinuous and cardinality constraints when performing portfolio optimization.
This example shows the workflow to implement the Black-Litterman model with the
Portfolio object workflow for creating and modeling a mean-variance portfolio.