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| Started by | Heike Gramberg <heike.gramberg@gmail.com> |
|---|---|
| First post | 2011-06-02 23:10 +0000 |
| Last post | 2011-06-02 23:10 +0000 |
| Articles | 1 — 1 participant |
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Re: Portfolio Optimization Heike Gramberg <heike.gramberg@gmail.com> - 2011-06-02 23:10 +0000
| From | Heike Gramberg <heike.gramberg@gmail.com> |
|---|---|
| Date | 2011-06-02 23:10 +0000 |
| Subject | Re: Portfolio Optimization |
| Message-ID | <is95a2$5vl$1@smc.vnet.net> |
Mathematica is complaining because the function you are trying to minimize returns a 1x1 matrix instead of a number. In Mathematica both row vectors and column vectors are represented as lists, not as 1xn or nx1 matrices, so to get the right answer you can do something like
weights = {w1, w2, w3};
NMinimize[{weights.Covariants.weights, w1 + w2 + w3 == 1}, {w1, w2, w3}]
which has as output
{0.000327596, {w1 -> 0.309102, w2 -> 0.659653, w3 -> 0.0312441}}
Heike.
On 2 Jun 2011, at 12:17, Priyan Fernando wrote:
> Hi!
>
> I am trying to run a portfolio optimizer in Mathematica. That is, minimising
> the variance of a portfolio of assets.
>
> (* Variance Covariance Matrix *)
> Covariants = {{0.000572843, 0.000223023, 0.000109176}, {0.000223023,
> 0.000387437, 0.0000987402}, {0.000109176, 0.0000987402,
> 0.007320276}}
>
> (* Asset Weights Vector*)
> weights = Transpose[{{w1}, {w2}, {w3}}]
>
> (* Optimize Portfolio Variance*)
> NMinimize[{weights.Covariants.Transpose[weights],
> w1 + w2 + w3 == 1}, {w1, w2, w3}]
>
> The output Mathematica throws is as follows:
> *NMinimize::nnum: "The function value {{0.00408844}} is not a number at
> {w1,w2,w3} = {-0.63531,0.918621,0.716689}. "*
>
> However if I program the same optimization in Excel (using Solver to find
> optimal weights) I see the weights should be {0.309102831, 0.659653054,
> 0.031244115} as this gives a lower portoflio variance of 0.0003276.
>
> Does anyone know why Mathematica is giving me the wrong answer? And, why is
> it saying the funcion value is not a number?
>
> Thanks for your all your comments,
> Priyan.
>
>
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