Constructs the minimum variance portfolio (MVP) that minimizes portfolio volatility without regard to expected returns. This is the leftmost point on the efficient frontier and represents the portfolio with the lowest possible risk.
Use Cases:
Mathematical Background: Minimizes: w^T Σ w Subject to: Σw_i = 1, and optional min/max weight constraints
Where w is the weight vector and Σ is the covariance matrix.
Credits: 5 per request
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Expected returns for each asset (annualized)
[0.08, 0.12, 0.1, 0.15]Asset covariance matrix (annualized). Must be symmetric and positive semi-definite.
[
[0.04, 0.006, 0.008, 0.01],
[0.006, 0.09, 0.012, 0.015],
[0.008, 0.012, 0.0625, 0.018],
[0.01, 0.015, 0.018, 0.16]
]Risk-free rate (annualized). Used for Sharpe ratio calculation.
0.03
Minimum weight constraints for each asset (e.g., 0.0 for long-only)
[0, 0, 0, 0]Maximum weight constraints for each asset (e.g., 0.3 for 30% position limit)
[0.4, 0.4, 0.4, 0.4]