similar to: Portfolio Optimization

Hello Every one I have data on Stock prices and I want to calculate the return on all the stocks and then replace all the stock prices with the returns can any one tell me how to do My data is in the format given below Date Stock1 Stock2 Stock3 01/01/2000 1 2 3 01/02/2000 5 6 7 01/03/2000 1 2 3 01/04/2000

---------- Forwarded message ---------- From: Akhil dua <akhil.dua.12@gmail.com> Date: Wed, Jul 4, 2012 at 10:33 AM Subject: To: r-help@r-project.org Hi everyone I have data on stock prices and market indices and I need to run a seperate regression of every stock on market so I want to write a "for loop" so that I wont have to write codes again and again to run the

Hi everyone I have data on stock prices and market indices and I need to run a seperate regression of every stock on market so I want to write a "for loop" so that I wont have to write codes again and again to run the regression... my data is in the format given below Date Stock1 Stock2 Stock3 Market 01/01/2000 1 2 3 4

Hello Every one I have data on Stock prices and I want to calculate the return on all the stocks and then replace all the stock prices with the returns can any one tell me how to do My data is in the format given below Date Stock1 Stock2 Stock3 01/01/2000 1 2 3 01/02/2000 5 6 7 01/03/2000 1 2 3 01/04/2000

Hi I'm getting the following errors while using the efficientPortfolio function even though I'm setting the target return to the mean of the TargetReturn I obtain from the portfolio object created by the feasiblePortfolio function. First Error: Error: targetReturn >= min(mu) is not TRUE Second Error: Error in .rquadprog(Dmat = args$Dmat, dvec = args$dvec, Amat = args$Amat, :

I'm tring the functions to check the cointegration of a matrix. I'm using **Phillips & Ouliaris Cointegration Test** The function in *tseries* package is **po.test** and **ca.po** in *urca* The results with **URCA** are: > ca.po(prices, demean='none') ######################################## # Phillips and Ouliaris Unit Root Test #

Hi all ! Running this: @payout = stub_everything(:id => 141) Payout.stubs(:find).with(@payout.id).returns(@payout) Generates this warning: ./test/functional/payouts_controller_test.rb:22: warning: Object#id will be deprecated; use Object#object_id What am I missing ? :id is a fairly frequent method to override in Rails-based applications. I''m using Mocha from

Dear R team! =20 I found in HTML help for function solveLP(linprog) a small mistake. It says in Description "Minimizes c'x, subject to A x >=3D b and x >=3D 0", but tests show that there should be A x <=3D b. =20 Best regards, =20 Ludek =20 =20 [[alternative HTML version deleted]]

Full_Name: wfeng Version: 2.7 OS: windows xp Submission from: (NULL) (208.62.252.2) for solveLP(linprog), the program is specified as Minimizes c'x, subject to A x >= b and x >= 0. However, what I found is the actual constraints that works with the function are A x <= b and x >= 0.

Hi there, I have a data frame DF of over 600 people's short term trade data in time order. Below is the simplified structure of the data. id invest payout [1] 1 10 -1 [2] 1 33 33 [3] 1 20 -5 [4] 2 200 33 [5] 2 33 -20 [6] 3 5 -5 [7] 3 5

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 there, I have a data frame DF of over 600 people's short term trade data in time order. Below is the super simplified structure of the data. id invest payout [1] 1 10 -1 [2] 1 33 33 [3] 1 20 -5 [4] 2 200 33 [5] 2 33 -20 [6] 3 5 -5 [7] 3

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

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

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