Rmetrics solver interface.
solveRglpk.CVAR(data, spec, constraints)
solveRglpk.MAD(data, spec, constraints)
solveRampl.CVAR(data, spec, constraints)solveRshortExact(data, spec, constraints)
solveRquadprog(data, spec, constraints)
solveRquadprog.CLA(data, spec, constraints)
solveRipop(data, spec, constraints)
solveRampl.MV(data, spec, constraints)
solveRsocp(data, spec, constraints)
solveRsolnp(data, spec, constraints)
a list with the following named ebtries:
solver
,
optim
,
weights
,
targetReturn
,
targetRisk
,
objective
,
status
,
message
.
a time series or a named list, containing either a series of returns or named entries 'mu' and 'Sigma' being mean and covariance matrix.
an S4 object of class fPFOLIOSPEC
as returned by the function
portfolioSpec
.
a character string vector, containing the constraints of the form
"minW[asset]=percentage"
for box constraints resp.
"maxsumW[assets]=percentage"
for sector constraints.
Wuertz, D., Chalabi, Y., Chen W., Ellis A. (2009); Portfolio Optimization with R/Rmetrics, Rmetrics eBook, Rmetrics Association and Finance Online, Zurich.