search for: portfolios

I''m a total Rails newbie and i''ve been struggling for hours today with one (prolly very silly) problem: I have a table portfolios that has many images: class Portfolio < ActiveRecord::Base has_many :images end class Image < ActiveRecord::Base belongs_to :portfolios end In the controller i define a list of active portfolios: @active_portfolios = Portfolio.find_all_by_is_active("1") In the view i render the...

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

At the risk of ridicule for my deficient linear algebra skills, I ask for help using the solve.QP function to do portfolio optimization. I am trying to following a textbook example and need help converting the problem into the format required by solve.QP. Below is my sample code if anyone is willing to go through it. This problem will not solve because it is not set up properly. I hope I

Hi everyone! I have a data frame with 1112 time series and I am going to randomly sampling r samples for z times to compose different portfolio size(r securities portfolio). As for r=2 and z=10000,that's: z=10000 A=seq(1:1112) x1=sample(A,z,replace =TRUE) x2=sample(A,z,replace =TRUE) M=cbind(x1,x2) # combination of 2 series Because in a portfolio with x1[i]=x2[i],(i=1,2,...,10000) means a 1

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 const...

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

How to use R to solve the optimisaton problem Minimize: ?*w^T*omega*w+mu^T*w+c^T(w-w0) for w>w0 long position ?*w^T*omega*w+mu^T*w-c^T(w-w0) for w<w0 short position W: is the update weight of portfolio Wo is the initial weight of portfolio Omega is the variance covariance matrix mu is the vector of return rate of stocks in the portfolio C is the vector coefficient of transaction cost

[whit at linuxsvr R.packages]$ sudo R CMD INSTALL portfolio.construction * Installing to library '/usr/local/lib64/R/library' * Installing *source* package 'portfolio.construction' ... ** R ** preparing package for lazy loading Loading required package: fts Loading required package: quadprog Loading required package: Rexcelpoi terminate called after throwing an instance of

Hi, I''ve got a live_search field in a partial that is on several different pages. On all pages, except 1, it works fine. On the page it doesn''t work on, it seems it never executes it action. Here''s my observe_field code inside the partial: <h1><label for="searchtext">Live Search:</label></h1> <%= text_field_tag :searchtext

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: http://www.kanecap.com/R/portfolio/portfolio.pdf...

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: http://www.kanecap.com/R/portfolio/portfolio.pdf...

...# Constraints box.1 <- paste0("minW[1:nAssets] = ", 0) box.2 <- paste0("maxW[1:nAssets] = ", 0.10) box.3 <- "maxsumW[1:nAssets] = 1" box.4 <- "minsumW[1:nAssets] = 1" boxConstraints <- c(box.1, box.2, box.3, box.4) # Portfolio Specs Spec <- portfolioSpec() # Calculate MinVar Portfolio minvar <- minvariancePortfolio( data = data, spec = Spec, constraints = boxConstraints) 5. Thanks a lot for your help! Markus Douglas, Jr. -- View this message in context: http://r.789695.n4.nabble.com/Calculate-a-minimum-variance-portfolio...

Dear sir, I am extremely sorry for messing up the logic asking for help w.r.t. my earlier mails   I have tried to explain below what I am looking for.     I have a database (say, currency_rates) storing datewise currency exchange rates with some base currency XYZ.   currency_rates <- data.frame(date = c("12/31/2010", "12/30/2010", "12/29/2010",

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

Below I have written out some simplified data from my dataset. My goal is to interpolate Price based on timestamp. Therefore the closer a Price is in time to another price, the more like that price it will be. I want the interpolations for each St and not across St (St is a factor with levels A, B, and C). Unfortunately, I get error messages from code I wrote. In the end only IDs 10 and 14 will

Hi Has someone got a package/script at hand to do a historical simulation to calculate the Value at Risk? If your not sure what Historical Simulation is: In simple terms, Historical Simulation (HS) is just taking sample percentiles over a moving sample. Suppose we want to use HS to predict a portfolio's Value-at-Risk at a confidence level of 99 percent and the window size is chosen to be 250

...ney, data3[,5] are their cost, so for each portfolio, i.e. the rows of new.set I have the option to purchase another stock at a cost listed in the rows of variable remain. Obvisouly the cheapest stock needs to have a cost>0 in order for me to be allowed to buy it. My code is intended to weed out portfolios where I could have bought another stock, by taking budget-portfolio cost - (cheapest available stock) and subsetting new.set when this is negative, i.e. buying the cheapest available stock puts me over budget. My problem is that my code is still allowing examples like the following budget of 10, po...

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: https://stat.ethz.ch/pipermail/r-packages/2006/000171.html Since then we've made progress by improving 'portfolio' and add...

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 statistical factor models to optimize portfolios with a benchmark. Details are on http://www.burns-stat.com/ Patrick Burns Burns Statistics patrick at burns-stat.com +44 (0)20 8525...