search for: portfoliospecs

Am I missing a Package? I'm not sure why is won't read the functions. Any help is much appreciated. > PData = Data[,3:10] > Spec = portfolioSpec() Error: could not find function "portfolioSpec" > setTargetReturn(Spec) = mean(colMeans(PData)) Error in setTargetReturn(Spec) = mean(colMeans(PData)) : object 'Spec' not found > Constraints =

I'm trying to get a reference to this object in C SWX.RET[1:6,c("SBI,"SPI","SII")] While i am able to access and use a plain SWX.RET object, I'm getting confused on how to create an object with the array subscripts like above. Here is what I tried to do. It doesn't work because "[" is obviously not an operation or function on SWX.RET. So how do I

Hi I'm trying to implement something similar to the following R snippet using C. I seem to have hit the wall on accessing class slots using C. library(fPortfolio) lppData <- 100 * LPP2005.RET[, 1:6] ewSpec <- portfolioSpec() nAssets <- ncol(lppData) setWeights(ewSpec) <- rep(1/nAssets, times = nAssets) ewPortfolio <- feasiblePortfolio( data = lppData, spec = ewSpec,

Running R version 2.6.1 under Gentoo Linux and using the fPortfolio package, I am having trouble specifying a sector constraint. One of the constraints to be imposed is that assets 1 and 2 together account for no more than 13.63% of the portfolio. My attempt at coding that constraint, "maxsumW[1:2Assets]=13.63" fails. The relevant section of my code file and the resulting error

Dear All, I am using package fPortfolio to run minimum variance portfolio optimizations in R. I already know how to set portfolioSpecs, portfolio objects and constraints. Unfortunately I am not able to set the following type of constraints. I have a timeSeries object with returns data for roughly 1.5k assets for 261 subperiods (workingdays) and want to compute the global minimum variance portfolio, considering following constrain...

Hello. I don't understand a particular output of portfolio.optim (tseries). I have 4 assets and the portfolio.optim returns an asset with weight equals to zero. If I do a portfolio.optim with 3 assets, without the asset with weight equals to zero, it returns a completely different result. That's I would expected the same weights as the run with 4 assets. Below the code. Thanks in

Could anyone help me with some little problem? When I plot the frontier I get the following message: *"Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent"*(see below for detail). How could I solve this. Thanks a lot. ##---------------------------- Portfolio construction & Optimisation------------------------ #Assets: LUTAX,

Hello, I have a problem with fPortfolio recently. I am using below code: Data = read.table("hf.txt",header = TRUE,sep = "") Data = Data[, c("CA", "SS", "EM", "EMN", "ED", "DS", "MS", "RA", "FIA", "GM", "LSE", "MF", "SP500", "NASDAQ",

Hello, I have some simulations of financial data, I have 17 variables simulated 1000 times to three horizons. I am tring to plot the efficient frontier which I already obtained using th fPortfolio package. I am using the following commands: Data=timeSeries(X[1,,]) lppSpec <- portfolioSpec() longFrontier <- portfolioFrontier(Data, lppSpec) plot(longFrontier) Selección: 1 Error en

Hello everybody, I'm running into an issue with the fPortfolio package. 1. What I want: Calculate the minimum-variance portfolio on 20 assets with respect to the following constraints: - min weight per asset = 0% (i.e. no short-selling) - max weight per asset = 10% - min sum of asset weights = 100% (i.e. fully invested) - max sum of asset weights = 100% (i.e. no leverage) 2. What I

Hello everyone, I have been spending many hours on a seemingly simple portfolio optimization problem using the package fPortfolio. My optimization problem is slightly different than a standard one such that I have a known set of asset returns. My problem is how to collect this information into my functions and pass them onto the optimization function. I have written my own covariance estimation