[R-SIG-Finance] comparing solve.pq and nloptr for min variance portfolio
es at enricoschumann.net
Fri Mar 18 15:25:18 CET 2016
On Fri, 18 Mar 2016, Alec Schmidt <aschmid1 at stevens.edu> writes:
> I'm puzzled that I cannot reproduce results for asset weights using
> solve.pq and nloptr even in the case of just three assets. E.g. if I
> use NLOPT_LD_SLSQP and start with initial weights of 1/3, I may obtain
> (0.47, 0, 0.53) vs (0.52, 0, 0.47). If I start with (0.52, 0, 0.47),
> I do get (0.52, 0, 0.47)...
> When I use NLOPT_GN_ISRES or other nloptr solvers that permit equality
> constraint sum(weights)=1 with initial weights of 1/3, I obtain
> (almost) the same initial weights after 20000 iterations with
> I remember from my MC simulations of protein structures (20 years ago)
> that sampling is key due to multiple local minimums but is it so bad
> for a simple portfolio?
> I'll greatly appreciate relevant comments.
Unless your covariance matrix is 'broken' in some way, a
minimum-variance portfolio with only a budget constraint should be
fairly easy to compute (no multiple local minima, smooth objective
function, ...). Please provide a reproducible example.
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