Estimate Efficient Portfolios and Frontiers
Objects
Portfolio | Create Portfolio object for mean-variance portfolio optimization and analysis |
Functions
Examples and How To
- Estimate Efficient Portfolios for Entire Efficient Frontier for Portfolio Object
The most basic way to obtain optimal portfolios is to obtain points over the entire range of the efficient frontier.
- Obtaining Endpoints of the Efficient Frontier
Determine the range of returns from minimum to maximum to refine a search for a portfolio with a specific target return.
- Obtaining Efficient Portfolios for Target Returns
To obtain efficient portfolios that have targeted portfolio returns, use the
estimateFrontierByReturn
function. - Obtaining Efficient Portfolios for Target Risks
To obtain efficient portfolios that have targeted portfolio risks, use the
estimateFrontierByRisk
function. - Efficient Portfolio That Maximizes Sharpe Ratio
Portfolios that maximize the Sharpe ratio are portfolios on the efficient frontier that satisfy several theoretical conditions in finance.
- Estimate Efficient Frontiers for Portfolio Object
Given any portfolio, the functions
estimatePortReturn
,estimatePortRisk
, andestimatePortMoments
provide estimates for the return and risk. - Plotting the Efficient Frontier for a Portfolio Object
The
plotFrontier
function creates a plot of the efficient frontier for a given portfolio optimization problem. - Asset Allocation Case Study
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. - Portfolio Optimization Examples
The following sequence of examples highlights features of the
Portfolio
object in the Financial Toolbox™. - Leverage in Portfolio Optimization with a Risk-Free Asset
This example shows how to use the
setBudget
function for thePortfolio
class to define the limits on thesum(AssetWeight_i)
in risky assets. - Mixed-Integer Quadratic Programming Portfolio Optimization: Problem-Based
This example shows how to solve a Mixed-Integer Quadratic Programming (MIQP) portfolio optimization problem using the problem-based approach.
- Portfolio Optimization with Semicontinuous and Cardinality Constraints
This example shows how to use a Portfolio object to directly handle semicontinuous and cardinality constraints.
- Black-Litterman Portfolio Optimization
This example shows the workflow to implement the Black-Litterman model with the
Portfolio
class. - Portfolio Optimization Using Factor Models
This example shows two approaches for using a factor model to optimize asset allocation under a mean-variance framework.
- Portfolio Optimization Using a Social Performance Measure
This example shows how to use a
Portfolio
object for portfolio optimization that includes a social performance measure for the percentage of women on a company's board. - Diversification of Portfolios
This example shows three techniques of asset diversification in a portfolio.
- Bond Portfolio Optimization Using Portfolio Object
This example shows how to use a
Portfolio
object to construct an optimal portfolio of 10, 20, and 30 year treasuries that will be held for a period of one month.
Concepts
- Portfolio Object Workflow
Portfolio object workflow for creating and modeling a mean-variance portfolio.
- Choosing and Controlling the Solver for Mean-Variance Portfolio Optimization
The default solver for mean-variance portfolio optimization is
lcprog
. - When to Use Portfolio Objects Over Optimization Toolbox
The three cases for using Portfolio, PortfolioCVaR, PortfolioMAD object are: always use, preferred use, and use Optimization Toolbox.