Working with Linear Inequality Constraints Using PortfolioMAD Object
Linear inequality constraints are optional linear constraints
that impose systems of inequalities on portfolio weights (see Linear Inequality Constraints). Linear
inequality constraints have properties AInequality
for
the inequality constraint matrix, and bInequality
for
the inequality constraint vector.
Setting Linear Inequality Constraints Using the PortfolioMAD
Function
The properties for linear inequality constraints are set using the PortfolioMAD
object. Suppose that you
have a portfolio of five assets and you want to ensure that the first three assets
are no more than 50% of your portfolio. To set up these
constraints:
A = [ 1 1 1 0 0 ]; b = 0.5; p = PortfolioMAD('AInequality', A, 'bInequality', b); disp(p.NumAssets) disp(p.AInequality) disp(p.bInequality)
5 1 1 1 0 0 0.5000
Setting Linear Inequality Constraints Using the setInequality
and addInequality
Functions
You can also set the properties for linear inequality constraints using setInequality
. Suppose that you
have a portfolio of five assets and you want to ensure that the first three assets
constitute no more than 50% of your portfolio. Given a
PortfolioMAD
object p
, use setInequality
to set the linear
inequality constraints:
A = [ 1 1 1 0 0 ]; b = 0.5; p = PortfolioMAD; p = setInequality(p, A, b); disp(p.NumAssets) disp(p.AInequality) disp(p.bInequality)
5 1 1 1 0 0 0.5000
Suppose that you want to add another linear inequality constraint to ensure that the last
three assets constitute at least 50% of your portfolio. You can set up an augmented
system of linear inequalities or use the addInequality
function to build up
linear inequality constraints. For this example, create another system of
inequalities:
p = PortfolioMAD; A = [ 1 1 1 0 0 ]; % first inequality constraint b = 0.5; p = setInequality(p, A, b); A = [ 0 0 -1 -1 -1 ]; % second inequality constraint b = -0.5; p = addInequality(p, A, b); disp(p.NumAssets) disp(p.AInequality) disp(p.bInequality)
5 1 1 1 0 0 0 0 -1 -1 -1 0.5000 -0.5000
The PortfolioMAD
object, setInequality
, and addInequality
implement scalar
expansion on the bInequality
property based on the dimension of
the matrix in the AInequality
property.
See Also
PortfolioMAD
| setDefaultConstraints
| setBounds
| setBudget
| setConditionalBudget
| setGroups
| setGroupRatio
| setEquality
| setInequality
| setTurnover
| setOneWayTurnover
Related Examples
- Setting Default Constraints for Portfolio Weights Using PortfolioMAD Object
- Creating the PortfolioMAD Object
- Validate the MAD Portfolio Problem
- Estimate Efficient Portfolios Along the Entire Frontier for PortfolioMAD Object
- Estimate Efficient Frontiers for PortfolioMAD Object
- Asset Returns and Scenarios Using PortfolioMAD Object