Estimate Efficient Portfolios for Entire Frontier for PortfolioCVaR Object

There are two ways to look at a portfolio optimization problem that depends on what you are trying to do. One goal is to estimate efficient portfolios and the other is to estimate efficient frontiers. This section focuses on the former goal and Estimate Efficient Frontiers for PortfolioCVaR Object focuses on the latter goal. For information on the workflow when using PortfolioCVaR objects, see PortfolioCVaR Object Workflow.

Obtaining Portfolios Along the Entire Efficient Frontier

The most basic way to obtain optimal portfolios is to obtain points over the entire range of the efficient frontier. Given a portfolio optimization problem in a PortfolioCVaR object, the estimateFrontier function computes efficient portfolios spaced evenly according to the return proxy from the minimum to maximum return efficient portfolios. The number of portfolios estimated is controlled by the hidden property defaultNumPorts which is set to 10. A different value for the number of portfolios estimated is specified as input to estimateFrontier. This example shows the default number of efficient portfolios over the entire range of the efficient frontier:

m = [ 0.05; 0.1; 0.12; 0.18 ];
C = [ 0.0064 0.00408 0.00192 0; 
    0.00408 0.0289 0.0204 0.0119;
    0.00192 0.0204 0.0576 0.0336;
    0 0.0119 0.0336 0.1225 ];
m = m/12;
C = C/12;

AssetScenarios = mvnrnd(m, C, 20000);

p = PortfolioCVaR;
p = setScenarios(p, AssetScenarios);
p = setDefaultConstraints(p);
p = setProbabilityLevel(p, 0.95);

pwgt = estimateFrontier(p);
disp(pwgt);

Columns 1 through 8

    0.8670    0.7046    0.5421    0.3825    0.2236    0.0570    0.0000    0.0000
    0.0413    0.1193    0.1963    0.2667    0.3392    0.4159    0.3392    0.1753
    0.0488    0.0640    0.0811    0.1012    0.1169    0.1427    0.1568    0.1754
    0.0429    0.1120    0.1806    0.2496    0.3203    0.3844    0.5040    0.6493

  Columns 9 through 10

    0.0000    0.0000
    0.0230    0.0000
    0.1777    0.0000
    0.7993    1.0000 

If you want only four portfolios in the previous example:

pwgt = estimateFrontier(p, 4);

disp(pwgt);

0.8670    0.3825    0.0000    0.0000
0.0413    0.2667    0.3392    0.0000
0.0488    0.1012    0.1568    0.0000
0.0429    0.2496    0.5040    1.0000

Starting from the initial portfolio, estimateFrontier also returns purchases and sales to get from your initial portfolio to each efficient portfolio on the efficient frontier. For example, given an initial portfolio in pwgt0, you can obtain purchases and sales:

pwgt0 = [ 0.3; 0.3; 0.2; 0.1 ];
p = setInitPort(p, pwgt0);
[pwgt, pbuy, psell] = estimateFrontier(p);

display(pwgt);
display(pbuy);
display(psell);

pwgt =

  Columns 1 through 8

    0.8670    0.7046    0.5421    0.3825    0.2236    0.0570    0.0000    0.0000
    0.0413    0.1193    0.1963    0.2667    0.3392    0.4159    0.3392    0.1753
    0.0488    0.0640    0.0811    0.1012    0.1169    0.1427    0.1568    0.1754
    0.0429    0.1120    0.1806    0.2496    0.3203    0.3844    0.5040    0.6493

  Columns 9 through 10

    0.0000    0.0000
    0.0230    0.0000
    0.1777    0.0000
    0.7993    1.0000


pbuy =

  Columns 1 through 8

    0.5670    0.4046    0.2421    0.0825         0         0         0         0
         0         0         0         0    0.0392    0.1159    0.0392         0
         0         0         0         0         0         0         0         0
         0    0.0120    0.0806    0.1496    0.2203    0.2844    0.4040    0.5493

  Columns 9 through 10

         0         0
         0         0
         0         0
    0.6993    0.9000


psell =

  Columns 1 through 8

         0         0         0         0    0.0764    0.2430    0.3000    0.3000
    0.2587    0.1807    0.1037    0.0333         0         0         0    0.1247
    0.1512    0.1360    0.1189    0.0988    0.0831    0.0573    0.0432    0.0246
    0.0571         0         0         0         0         0         0         0

  Columns 9 through 10

    0.3000    0.3000
    0.2770    0.3000
    0.0223    0.2000
         0         0

If you do not specify an initial portfolio, the purchase and sale weights assume that your initial portfolio is 0.