Minimum Variance Portfolio:
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The Minimum Variance Portfolio is the portfolio of assets that has the lowest possible variance (risk) for a given set of assets, subject to the constraint that the weights sum to 1 (fully invested).
The calculator solves the optimization problem:
Where:
Explanation: The solution finds weights that minimize portfolio variance while being fully invested.
Details: Finding the minimum variance portfolio helps investors construct efficient portfolios that maximize returns for a given level of risk.
Tips: Enter the covariance matrix of asset returns as comma-separated values, with each row on a new line. The matrix must be symmetric and positive definite.
Q1: Why use minimum variance portfolio?
A: It provides the lowest possible risk portfolio for a given set of assets, which is particularly useful for risk-averse investors.
Q2: What are the limitations?
A: It relies on accurate estimation of the covariance matrix and doesn't consider expected returns.
Q3: How often should the covariance matrix be updated?
A: For optimal results, update the covariance matrix regularly as market conditions change.
Q4: Can I add constraints to the optimization?
A: This basic version only includes the sum-to-one constraint. More advanced versions can include additional constraints.
Q5: What if my weights are negative?
A: Negative weights indicate short selling. If you want to prohibit short selling, you would need to add non-negativity constraints.