portfolio optimization using fmincon

2 visualizzazioni (ultimi 30 giorni)
I am trying to predict the weights for my stocks that optimize my portfolio by reducing variance. My equation that I am using to predict the variance is
>>function f = varmin(x,VCV) >>f = ((x' * VCV) * x);
where x is the weights and VCV is the variance covariance matrix. Every time I run the program fmincon, I get an error relating to my function "varmin" saying
>>Not enough input arguments.
>>Error in varmin (line 2) >>f = ((x' * VCV) * x);
>>error in fmincon (line 536) >> initVals.f = feval(funfcn{3},X,varargin{:});
>>Caused by: >> Failure in initial objective function evaluation. FMINCON cannot >>continue.
this is what the fmincon equation looks like
>>w = fmincon('varmin',x,a,b,Aeq,Beq,MinWt,MaxWt);
if anyone has any advice that would be greatly appreciated.

Risposta accettata

Alan Weiss
Alan Weiss il 13 Mar 2017
If VCV is a given matrix in your workspace, take
fun = @(x)x'*VCV*x;
and then call
w = fmincon(fun,x,a,b,Aeq,Beq,MinWt,MaxWt);
Make sure that your initial x (which I would call x0) is a column vector.
Alan Weiss
MATLAB mathematical toolbox documentation
  6 Commenti
Nathaniel Comar
Nathaniel Comar il 13 Mar 2017
Modificato: Nathaniel Comar il 13 Mar 2017
Ah thank you for clarifying. I got it to work. Thank you for your help
Muhammad Zain Razak
Muhammad Zain Razak il 26 Lug 2019
Hi
Does the VCV is the 3x3 matrix?

Accedi per commentare.

Più risposte (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by