similar to: portfolio optimization problem - use R

Hello, After installing and loading the package "portfolio", I tried to run the example code provided, and it would not run. this is the link: http://rss.acs.unt.edu/Rdoc/library/tseries/html/portfolio.optim.html this is the example code, as found at the link: x <- rnorm(1000) dim(x) <- c(500,2) res <- portfolio.optim(x) res$pw the error I get is: Error: could not find

Hi everybody, I'm trying to construct contrasts for an ANOVA to determine if there is a significant trend in the means of my groups. In the following example, based on the type of 2x3 ANOVA I'm trying to perform, does the linear polynomial contrast generated by contr.poly allow me to test for a linear trend across groups? doi=data.frame( Group=c( rep(1, 5), rep(2, 5), rep(3, 5),

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

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

Summer Internship at ETH Zurich "Dynamic Portfolio Asset Allocation" We offer a 3-months internship starting midth July 2008. The topic addresses "Dynamic Portfolio Asset Allocation" including alternative instruments and hedge funds. The goal will be to compare the robust mean-variance, the lower partial moment and the conditional value-at-risk approaches for portfolio

Burns Statistics has just released its POP Portfolio Optimizer, which is available for a license fee. This has an interface designed to run under either S-PLUS or R. In addition to portfolio selection and asset allocation, there is functionality to generate random portfolios, and to estimate statistical factor models. The website includes a new working paper on the best approach to using

We would like to announce the availability of the 'portfolio' package in R for analysing equity portfolios. Version 0.2-0 is now available on CRAN. To take a look, you can: > install.packages("portfolio") ... > vignette("portfolio") and play around. Those who would just like to check out an introduction can simply look at:

We would like to announce the availability of the 'portfolio' package in R for analysing equity portfolios. Version 0.2-0 is now available on CRAN. To take a look, you can: > install.packages("portfolio") ... > vignette("portfolio") and play around. Those who would just like to check out an introduction can simply look at:

This is the first time I've used either Wine or the "Fund Manager" program from Beiley Software http://www.fundmanagersoftware.com/index.html . I found installation a bit confusing, but the program does work, and retrieves data from various sources somewhat as it's supposed to. Some of the help files don't show up as they should, but since they're also available

Hi, I am searching for a command line tool to extract files from a pdf portfolio? Are there any capabilities to do this? Thanks in advance! Kind regards, Nicole

A new version of package 'portfolio' is now available on CRAN. Also available are new packages 'backtest', for basic spread-based hypothesis testing, and 'portfolioSim', a general framework for portfolio simulation. Last March we wrote R-packages regarding our desire to build a suite of tools for portfolio analytics in R:

Hi, I need some help with Portfolio Optimization problem. I am trying to find the minimum variance portfolio subjected to constraints on weights like /x1< w1 <x2 x3< w2 <x4</i> I need help with solving for the minimum variance portfolio as solve.QP doesn't allow me to specify the lower boundaries. Thanks Mahesh -- View this message in context:

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

Hi, I'm an R newbie and I've been struggling with a optimization problem for the past couple of days now. Here's the problem - I have a matrix of expected payouts from different stock option strategies. Each column in my matrix represents a different stock and each row represents the return to the strategy given a certain market move. So the rows are not a time series of percentage

Full_Name: Ansgar Steland Version: 0.90.0 OS: Linux 6.1 FreeBSD 3.2 Submission from: (NULL) (62.104.196.10) Dear R Team, Yesterday I downloaded R 0.90.0 and the current versions of some packages (tseries, quadprog,...). I had no problems to build the program using FreeBSD 3.2 and SuSe Linux 6.1. I also re-build all packages required by tseries. I checked out portfolio.optim (package:

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

Dear R helpers I have following data stocks <- c("ABC", "DEF", "GHI", "JKL") prices_df <- data.frame(ABC = c(17,24,15,22,16,22,17,22,15,19),                                          DEF = c(22,28,20,20,28,26,29,18,24,21),                                           GHI = c(32,27,32,36,37,37,34,23,25,32),                                          

Hi mates, I have a problem. I am new to R and want to conduct the Fama/French asset pricing test. As I am from Germany, I cannot use the already computed factors from French's website, but need to compute them myself. So I have to sort a number of stocks into different portfolios using one factor, then subdivide these portfolios into several more using another factor, then compute portfolio

I'm trying to find 50 portfolios on the efficient frontier using the Black-Litterman model but have not found a suitable method for doing so. I tried using the "portfoliosFrontier" function given in the package fPortfolio using the "optimalPortfolios.fPort" function on package "BLCOP" but does not provide satisfactory results -- View this message in context: