[R] Porting optimisation setup from Excel Solver to R
puneetsingh77 at yahoo.com
Fri Dec 10 12:54:15 CET 2004
I am currently optimising a small portfolio I have
created as a part of my research project in Excel. I
am unable to find the appropriate package to port this
into R. My problem set up is as follows
0 <= Xi <= 0.05
ABS(Sum(Xi)) = 0.2
Mi - Market Cap of Stock i
Xi - Initial weight of Stock i
Xi' - New weight of Stock i
Mavg = Average weighted market cap of portfolio.
My portfolio has a long as well as a short side,
therefore the ABS. The minimisation function is
basically a penalty on the change from initial weight
and the distance from the Average market cap.
My problem is that I need to optimise a vector X with
the weights instead of one weight at a time... i.e. I
need to be able to change all the stocks in the
portfolio simultaneously. I am able to do this EASILY
in Excel, but have not found any straightforward
application/formulation in R.
Any help would be much appreciated.
Indian Institute of Management Calcutta, India
Send a seasonal email greeting and help others. Do good.
More information about the R-help