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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

  • pihatOptimal portfolio weights
  • muhatMean return in sample
  • sighatStandard deviation of returns in sample

Details

The portfolio weights are estimated by solving a constrained least squares problem.

See Also

qrisk