Asset Returns and Scenarios

Evaluate scenarios for portfolio asset returns, including assets with missing data and financial time series data

Objects

PortfolioCVaR Creates PortfolioCVaR object for conditional value-at-risk portfolio optimization and analysis

`getScenarios`	Obtain scenarios from portfolio object
`setScenarios`	Set asset returns scenarios by direct matrix
`estimateScenarioMoments`	Estimate mean and covariance of asset return scenarios
`simulateNormalScenariosByMoments`	Simulate multivariate normal asset return scenarios from mean and covariance of asset returns
`simulateNormalScenariosByData`	Simulate multivariate normal asset return scenarios from data
`setCosts`	Set up proportional transaction costs for portfolio

Asset Returns and Scenarios Using PortfolioCVaR Object
Given a sample of scenarios, the conditional expectation that defines the sample CVaR of the portfolio is expressed as a finite sum, a weighted average of losses.
Working with a Riskless Asset
The PortfolioCVaR object has a separateRiskFreeRateproperty that stores the rate of return of a riskless asset.
Working with Transaction Costs
The difference between net and gross portfolio returns is transaction costs.
Hedging Using CVaR Portfolio Optimization
This example shows how to model two hedging strategies using CVaR portfolio optimization with aPortfolioCVaRobject.

PortfolioCVaR Object Workflow
PortfolioCVaR object workflow for creating and modeling a conditional value-at-risk (CVaR) portfolio.
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.

Analyzing Investment Strategies with CVaR Portfolio Optimization in MATLAB (50 min 42 sec)