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efficientFrontier_v1.R
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effFrontier = function (data, nports = 20, shorts=T,wmin=0, wmax=1) | |
{ | |
rcov<-cov(data) | |
averet<-colMeans(data) | |
mxret = max((colMeans(data))) | |
mnret = 0#-mxret Long only... | |
n.assets = ncol(data) | |
reshigh = rep(wmax,n.assets) | |
if( shorts ) | |
{ | |
reslow = rep(-wmax,n.assets) | |
} else { | |
reslow = rep(wmin,n.assets) | |
} | |
min.rets = seq(mnret, mxret, len = nports) | |
vol = rep(NA, nports) | |
ret = rep(NA, nports) | |
pws = matrix(NA,ncol=n.assets, nrow=nports) | |
for (k in 1:nports) | |
{ | |
port.sol = NULL | |
try(port.sol <- portfolio.optim(data, pm=min.rets[k], | |
reshigh=reshigh, reslow=reslow,shorts=shorts),silent=T) | |
if ( !is.null(port.sol) ) | |
{ | |
vol[k] = sqrt(as.vector(port.sol$pw %*% rcov %*% port.sol$pw)) | |
ret[k] = averet %*% port.sol$pw | |
pws[k,] = port.sol$pw | |
} | |
} | |
return(list(vol = vol, ret = ret,pws=pws)) | |
} |
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