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quantreg (version 5.18)
srisk: Markowitz (Mean-Variance) Portfolio Optimization
Description
This function estimates optimal mean-variance portfolio weights from a matrix of historical or simulated asset returns.
Usage
srisk(x, mu = 0.07, lambda = 1e+08, alpha = 0.1, eps = 1e-04)
Arguments
x
Matrix of asset returns
mu
Required mean rate of return for the portfolio
lambda
Lagrange multiplier associated with mean return constraint
alpha
Choquet risk parameter, unimplemented
eps
tolerance parameter for mean return constraint
Value
pihat
Optimal portfolio weights
muhat
Mean return in sample
sighat
Standard deviation of returns in sample
Details
The portfolio weights are estimated by solving a constrained least squares problem.
See Also
qrisk