similar to: Estimating EGARCH processes with R

Hi, Could you please help me with EGARCH and GJR? Is it possible to use EGARCH and GJR in R? I have used below mentioned code for GARCH in R, but I never used EGARCH and GJR in R. Thank you in advance! daten<-read.table("H://Daten//Zeitreihen//dax_1.csv", sep=";", header=T) DAX.kurs<-daten DAX.kurs<-ts(DAX.kurs,names="DAX-Kurs")

I've downloaded fSeries, but looks like it just has an interface to OX(TM) Garch Modeling Software,and that OX(TM) software package is not free. So where can I find an EGARCH function that is truely usable? Thanks a lot! [[alternative HTML version deleted]]

Hi, Can we run EGARCH in R. If yes, I would be grateful if someone could tell me the R codes for running EGARCH model. Thanks. [[alternative HTML version deleted]]

Hi, I have limited experience on R and recently started using REXcel. Although I have been able to run both simple functions (like mean etc) and some complex ones (like Principal Component analysis, PCA) using RExcel, I am facing some problems while running EGARCH model. For this I have downloaded the 'betategarch' package for R to run EGARCH with student t dist. Although the package has

Hi I was trying to implement Egarch (1,1) with Student t distribution using rugarch. But I was not getting any value. Following were the commands that I was using: library(rugarch) spec=ugarchspec(variance.model=list(model="eGARCH", garchOrder=c(1,1)), mean.model=list(armaOrder=c(1,1), arfima=FALSE), distribution.model="std") fit=ugarchfit(data=b,spec=spec) sigma(fit) May I

Hi, I would like to know if there are R packages in order to fit ARIMA models with ARCH-M and EGARCH variance specifications. I know packages tseries, stats, nlme where I found functions : arima.sim, arima, garch. But it's not enough for me. I need to study ARCH-m and EGARCH. Thank you very much for your help. Best regards, Jerome.

Hi I want to implement Egarch (1,1) with t distribution model using RExcel and VBA. May I know the syntax. Following is the code that I 'm using. rinterface.RRun "spec=ugarchspec(variance.model=list(model=(eGARCH),garchOrder=c(1,1)), mean.model=list(armaOrder=c(1,1), arfima=FALSE), distribution.model=(std))" rinterface.RRun "fit = ugarchfit(Data = b, spec = spec)"

I use R to generate data and I need to estimate the data by egarch (that doesn't have in R). So how I can call egarch from SAS in R. Regards, luck

Dear all, I would like to know that R has the function for garch-t,gjr- garch,qgarch and egarch. Best Regards, Luck

Hi, I`m about to switch from STATA to R and have serious troubles to find proper documentations on the internet. Right now I try to find a proper documentation of the eGARCH model being part of the rugarch package. Neither here http://cran.r-project.org/web/packages/rugarch/vignettes/Introduction_to_the_rugarch_package.pdf nor here http://cran.r-project.org/web/packages/rugarch/rugarch.pdf could

hi, I try to code garch-t(1,1),egach(1,1) and gjr(1,1) to estimate my data. How I can code these model with my data (e.g. garch code is y<-garch(x,order=c(1,1)) best regards, luck

Hi All, I finally decided to contact you. This problem bothers me for at least 5 years. I use Debian Linux-es with 2.6.16 - 2.6.19 kernels. Our computers on 100 MBit ethernet network. As we connect two windowses (XPs) they can transfer 9-10 MByte/s. That's the the theoretichal max. In the past when one side was linux the max speed was 7.5 MByte/s (This is the 3/4). When we connected two

HI, I need urgently garch and egarch models. After looking through the R mail archives I found http://www.egss.ulg.ac.be/garch/default.htm which is an Ox package. After downloading and installing it in R (Version 1.4.1 through the windows dialog "Packages") I received the following warning: install.packages("D:/benjamin/bartels/R/packages/garch22/garch_v22.zip",

Hi, I have used R rmgarch package to implement EGARCH ADCC model from which I can extract conditional covariance matrix. Now I would like to introduce positive and/or negative shocks to see the asymmetric response of covariance. I have come to know that impulse response function (IRF) or volatility IRF is not compatible for any asymmetric models, therefore, the only way to introduce shocks into

Dear R-helpers, I was wondering if anyone has or knows someone who might have an implementation of algorithm for estimating garcht-t, egarch and gjr models. I try to use Fseries but I don't know how to code these models. Thanks a million in advance, Sincerely, Nongluck

Hi I am using the ugarchspec function from the rgarch package to fit a mean variance model jointly. Following is the code I'm using: > spec = ugarchspec(variance.model = list(model="eGARCH", garchOrder=c(1,1)), mean.model = list(armaOrder=c(1,1))) On doing this, I get the following error: Error in ugarchspec(variance.model = list(model = "eGARCH", garchOrder = c(1,

Hello all, I would like to know how to call sas code in R. Since I simulate data in R and I need to use sas code (garch-t,egarch and gjr) to estimate it. I need to simulate 500 times with 2000 obs. How I can call that code in R.Also, how I can keep the parameters from the estimate. j=1:500 i=1:2000 sas code keep parameters. Best Appreciate, Luck

Hello Following some standard textbooks on ARMA(1,1)-GARCH(1,1) (e.g. Ruey Tsay's Analysis of Financial Time Series), I try to write an R program to estimate the key parameters of an ARMA(1,1)-GARCH(1,1) model for Intel's stock returns. For some random reason, I cannot decipher what is wrong with my R program. The R package fGarch already gives me the answer, but my customized function

I'm trying to use garchFit from fSeries, with Student or Skewed Student conditionnal distribution. Let's say that eps (vector) is my series of daily log-returns: data(EuStockMarkets) eps = diff(log(EuStockMarkets[,"CAC"])) library(fSeries) g = garchFit(series = eps, formula.var = ~garch(2,2), cond.dist = "dstd") s = g at fit$series All the coefficients are ok

Dear R users, I hope this email finds you well, My name is Mariam and I am currently using R in my thesis project. I is about modeling investors' sentiment. My R skills are very modest and I am trying to solve a Garch in mean equation using the "rgarch" package. The main issue I am facing is with the mean equation, and I need a code for it or a lead on how to edit already existing