Hello I am trying to use solveRsocp to optimize a Portfolio maximizing
return. I was checking the code since I would like to solve it for a short
Portfolio and I found this:

    # C - Cone Constraints:
    C1 <- rep(0, nAssets)                                     # xCx
    C2 <- eqsumW[2, -1]                                       # sum(x)
    C3 <- rbind(diag(nAssets), -diag(nAssets) )               # x[i]>0

    # d - Cone Constraints:
    d1 <- targetRisk                                          # xCx = risk
    d2 <- eqsumW[2, 1]                                        # sum(x) <= 1
    d3 <- c(rep(0, nAssets), rep(-1, nAssets))                # x[i] > 0

I was wondering if the conditions C3 and d3 aren't forcing the portfolio to
be always a "LongOnly" portfolio? I tried modifying the code to take out
these conditions and got the following error:

Error en .socp.phase1(f, A, b, N, control) : Phase 1 failed, alpha>=0

Does anybody knkow what might be going on? Is there any problem with this
solver for negative weights?

Thank you

Felipe Parra

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