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## Obtaining Endpoints of the Efficient Frontier

Often, you might be interested in the endpoint portfolios for the efficient frontier. Suppose that you want to determine the range of returns from minimum to maximum to refine a search for a portfolio with a specific target return. Use the `estimateFrontierLimits` function to obtain the endpoint portfolios:

```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 = PortfolioMAD; p = setScenarios(p, AssetScenarios); p = setDefaultConstraints(p); pwgt = estimateFrontierLimits(p); disp(pwgt);```
``` 0.8875 0.0000 0.0373 0.0000 0.0386 0.0000 0.0366 1.0000```

### Note

The endpoints of the efficient frontier depend upon the Scenarios in the PortfolioMAD object. If you change the Scenarios, you are likely to obtain different endpoints.

Starting from an initial portfolio, `estimateFrontierLimits` also returns purchases and sales to get from the initial portfolio to the endpoint portfolios on the efficient frontier. For example, given an initial portfolio in `pwgt0`, you can obtain purchases and sales:

```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 = PortfolioMAD; p = setScenarios(p, AssetScenarios); p = setDefaultConstraints(p); pwgt0 = [ 0.3; 0.3; 0.2; 0.1 ]; p = setInitPort(p, pwgt0); [pwgt, pbuy, psell] = estimateFrontierLimits(p); display(pwgt); display(pbuy); display(psell);```
```pwgt = 0.8927 0.0000 0.0334 0.0000 0.0422 0.0000 0.0317 1.0000 pbuy = 0.5927 0 0 0 0 0 0 0.9000 psell = 0 0.3000 0.2666 0.3000 0.1578 0.2000 0.0683 0```
If you do not specify an initial portfolio, the purchase and sale weights assume that your initial portfolio is `0`.