search for: wildsbergstrass

Ok I made Jarque-Bera test to the residuals (merv.reg$residual) library(tseries) jarque.bera.test(merv.reg$residual) X-squared = 1772.369, df = 2, p-value = < 2.2e-16 And I reject the null hypotesis (H0: merv.reg$residual are normally distributed) So I know that: 1 - merv.reg$residual aren't independently distributed (Box-Ljung test) 2 - merv.reg$residual aren't indentically

Hi I am looking to perform a discrete mean-variance optimisation, specifically to maximise the ratio of portfolio mean over portfolio standard deviation for a portfolio of several hundred stocks through discrete position size holdings in each stock, where all position sizes must be elements of a small finite set of integer amounts which include zero. I don't think any of the standard R

Hi I am looking to perform a discrete mean-variance optimisation, specifically to maximise the ratio of portfolio mean over portfolio standard deviation for a portfolio of several hundred stocks through discrete position size holdings in each stock, where all position sizes must be elements of a small finite set of integer amounts which include zero. I don't think any of the standard R

...cripting, and interpolating irregular time series. This is a first version of the class "irts" and I very much welcome feedback. best Adrian -- Dr. Adrian Trapletti Phone : +41 (0) 1 994 5631 Trapletti Statistical Computing Mobile: +41 (0)76 370 5631 Wildsbergstrasse 31 Fax : +41 (0) 1 994 5631 CH-8610 Uster Email : mailto:a.trapletti at bluewin.ch Switzerland WWW : http://trapletti.homelinux.com

could someone help me to write a fonction doing an exponential smoothing in case of a multivariate time serie? I tried ewma <- function (x, lambda = 1, init = 0) { if (is.ts(x)) filter(lambda*x, filter=1-lambda, method="recursive", init=init) else stop(message="first argument should be a time serie") } but I can't apply that to multivariate Thanks

R-guRus , ARMA function in tseries, seems to be calculating the AR coeff 's as coef <- lm(xx[,1]~xx[,lag$ar+1])$coef [*snipped* from around line 77,] I'd like to modify this model with another term somewhat in these lines lm(xx[,1] ~xx[,lag$ar+1]+mvgsignal)$coef where mvgsignal is a moving average signal based on some indicators, the question is could i simply hack into

Dear R People: I have a weekly time series. How do I put this into the ts command, please? That is, what do I use for frequency, please? R version 1.5.1 for Windows. Thanks in advance. Sincerely, Erin mailto: hodgess at uhddx01.dt.uh.edu -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html

Hi,I try to calcualte AIC or Loglik to GARCH model,But the Packege Tseries do not deal with them.How can I calculate AIC or Loglike to GARCH Model By Packege Tseries? Thanks. ____________________________________________________ Free Internet Access NOW! In Alexandria, Ismaileya, Suez, Portsaid, Hurgadha, Sharm Banha, Shebin El-Kom, Damietta, Tanta, Zagazig, Mansoura, Damanhour, Assyout, Qena

...str(.Machine) and the definitions are all there. > > What should I do to get garch to run? Use the newest version of tseries 0.9-7. best Adrian -- Dr. Adrian Trapletti Phone : +41 (0) 1 994 5631 Trapletti Statistical Computing Mobile: +41 (0)76 370 5631 Wildsbergstrasse 31 Fax : +41 (0) 1 994 5631 CH-8610 Uster Email : mailto:a.trapletti at bluewin.ch Switzerland WWW : http://trapletti.homelinux.com

...pproximation and small sample effects might lead to severe size distortions. Maybe someone can explain more formally whats going on here? best Adrian -- Dr. Adrian Trapletti Phone : +41 (0) 1 994 5631 Trapletti Statistical Computing Mobile: +41 (0)76 370 5631 Wildsbergstrasse 31 Fax : +41 (0) 1 994 5631 CH-8610 Uster Email : mailto:a.trapletti at bluewin.ch Switzerland WWW : http://trapletti.homelinux.com

Dear all, Can garch function fit also t-innovations or only Gaussian innovations? -- With kind regards -- Lepo pozdravljeni -- Gr??e (Gr?ezi) -- Gorazd Brumen ------------------------------- Mail 1: gbrumen at student.ethz.ch Mail 2: gorazd.brumen at fmf.uni-lj.si Tel.: +41 (0)1 63 34906 Homepage: valjhun.fmf.uni-lj.si/~brumen

...cripting, and interpolating irregular time series. This is a first version of the class "irts" and I very much welcome feedback. best Adrian -- Dr. Adrian Trapletti Phone : +41 (0) 1 994 5631 Trapletti Statistical Computing Mobile: +41 (0)76 370 5631 Wildsbergstrasse 31 Fax : +41 (0) 1 994 5631 CH-8610 Uster Email : mailto:a.trapletti at bluewin.ch Switzerland WWW : http://trapletti.homelinux.com

Anyone know if there's an R package somewhere that supports estimation of a linear regression model with GARCH error process? There's a garch command in the tseries package, but unless I'm missing something it is restricted to the univariate case, i.e. you can fit a GARCH model to a single time-series but not estimate a model with GARCH errors. -- Allin Cottrell Department of

I would like to know if there is a way to test no correlaction in time series ? cov(r_t, r_t-1)=0 And r_t are homoscedastik and independent. Thanks [[alternative HTML version deleted]]

Hello all, I would like how to modelized a time serie with AR-ARCH process. It can be used arma and garch functions in tseries package for build ar process or a garch process, but how can it be modelized a ar-garch model ? Thanks [[alternative HTML version deleted]]

...hat I got from get.hist.quote from yahoo, >and fx data from the same function from Oanda. The Oanda data has >7-days, and the S&P data has 5. Anyone know how to get them to match up >for the same time period? > >Best, >Alex > > > > > -- Adrian Trapletti Wildsbergstrasse 31 8610 Uster Switzerland Phone : +41 (0) 44 9945630 Mobile : +41 (0) 76 3705631 Email : a.trapletti at swissonline.ch

Hi there, Does anyone know if R has a function for testing whether a time series is stationary?? Thanks in advance, Wayne Dr Wayne R. Jones Statistician / Research Analyst KSS Group plc St James's Buildings 79 Oxford Street Manchester M1 6SS Tel: +44(0)161 609 4084 Mob: +44(0)7810 523 713 KSS Ltd A division of Knowledge Support Systems Group plc Seventh Floor St James's

Hello, I would like to use the BDS test from the tseries package, but there is something I don't understand in the results of the test. Let's say, I want the BDS values for an embedding dimension equal to 2 : > bds.test(c, m = 2, eps = seq(0.5 * sd(c), 2 * sd(c), length = 4),trace=FALSE); Here are the outputs: data: c Embedding dimension = 2 Epsilon for close points = 0.0097

Hi ALL: I am trying to use get.help.quote from library(tseries). I tried to run the example from help(get.hist.quote) but R complained. Here is the command I used and the response: ibm <- get.hist.quote(instrument = "ibm", start = "1998-01-01") trying URL

Hi R specialists, The na.omit.ts() method fails when the time series contains internal NA's. How can these automatically be removed? > spectrum(ts.mNDII, na.action=na.omit) Error in na.omit.ts(as.ts(x)) : time series contains internal NAs How can the na.action be activated correctly? > acf(ts.Lin, type=c("correlation"), na.action=na.omit) Error in na.omit.ts(as.ts(x)) :