Mean-Absolute Deviation Portfolio Optimization
Portfolios are points from a feasible set of assets that constitute an asset universe. A portfolio specifies either holdings or weights in each individual asset in the asset universe. The convention is to specify portfolios in terms of weights, although the portfolio optimization tools work with holdings as well. The Mean-Absolute Deviation (MAD) approach uses the mean-absolute deviation of returns as the risk measure. This is calculated as the average of the absolute deviations of portfolio returns from the mean return. For information about MAD portfolio optimization, see Portfolio Optimization Theory.
Categories
- Create Portfolio
Create PortfolioMAD object for mean-absolute deviation (MAD) portfolio optimization
- Asset Returns and Scenarios
Evaluate scenarios for portfolio asset returns, including assets with missing data and financial time series data
- Specify Portfolio Constraints
Define constraints for portfolio assets such as linear equality and inequality, bound, budget, group, group ratio, and turnover constraints
- Validate Portfolio
Identify errors for the portfolio specification
- Estimate Efficient Portfolios and Frontiers
Analyze efficient portfolios and efficient frontiers for portfolio
- Postprocessing Results
Use efficient portfolios and efficient frontiers results to set up trades
