Mean-Variance 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. A a mean-variance portfolio is a fundamental concept in finance that helps investors optimize their investment strategies by balancing risk and return to achieve an optimal portfolio allocation. For information about mean-variance portfolio optimization, see Portfolio Optimization Theory.
Categories
- Create Portfolio
Create Portfolio object for mean-variance portfolio optimization
- Estimate Mean and Covariance for Returns
Evaluate mean and covariance 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
