similar to: questions about garchFit

Hi all, I post it on both r-help and r-finance since I don't know where is most appropriate for this topic. Sorry if it bothers you. I did garch fitting on S&P500 monthly returns with garchFit from fSeries. I got same coefficients from all cond.dist except normal. I thought that is probabaly usual for the data. But when I play with it, I got another question. I plot skew normal with

Hi. Background - I am working with a dataset involving around 750K observations, where many of the variables (8/11) are unordered factors. The typical model used to model this relationship in the literature has been a simple linear additive model, but this is rejected out of hand by the data. I was asked to model this via kernel methods, but first wanted to play with the parametric

Hi, I am using the stdFit function (fGarch package) to get estimates for a fitted location, scale, and degrees of freedom of a dataset. I have no errors with the code however the estimates are not identical to the estimates I am getting when using SAS and MatLab (both give me the same estimates). Can someone comment on it? Here is the simple two lines I am using t_fit <- stdFit(independent)

Hello, I am new to non-linear growth modelling in R and I am trying to reproduce an analysis that was done (successfully) in S-Plus. I have a simple non-linear growth model, with no nesting. I have attempted to simplify the call as much as possible (by creating another grouped object, instead of using subset= and compacting the fixed and random expressions.) This is a what the grouped

Hello, I have a deriv function that I am feeding to nlme. It works, and I can use it in nls, but when I try to use it in nlme I get Error: subscript out of bounds. I can fit the model using SSasympOrig, instead of the deriv function, but I am trying to reproduce an earlier analysis (done in Splus) and I get slightly different results with SSasympOrig. Here are my calls: This does fit

Dear friends, After running the lm() model, we can get summary resluts like the following: Coefficients: Estimate Std. Error t value Pr(>|t|) x1 0.11562 0.10994 1.052 0.2957 x2 -0.13879 0.09674 -1.435 0.1548 x3 0.01051 0.09862 0.107 0.9153 x4 0.14183 0.08471 1.674 0.0975 . x5 0.18995 0.10482 1.812 0.0732 . x6 0.24832 0.10059 2.469 0.0154 * x7

Hello, I am trying to perform a logistic regression using counts. For example: cedegren <- read.table("http://www.cloudstat.org/index.php?do=/attachment/download/id_95 /", header=T) attach(cedegren) ced.del <- cbind(sDel, sNoDel) ced.logr <- glm(ced.del ~ cat + follows + factor(class), family=binomial("logit")) This works. However, if I change the family to

The blowfish crypt(3) mechanism supports the use of a "cost value" for password encryption. The cost value is encoded into the encrypted password that is stored in master.passwd. On OpenBSD, this cost value can be set in login.conf. FreeBSD does not currently support the cost value. The cost value is the base-2 logarithm of the number of rounds of encryption to use so

Is there an easy way to display the SQL in script/console (similar to what is done in development.log)? The following works but it''s ugly: $ script/console Loading development environment. >> class ActiveRecord::ConnectionAdapters::AbstractAdapter >> def logger= (logr) >> @logger = logr >> end >> end => nil >>

I have some comments on the Fortran code in the fseries package in file 4A-GarchModelling.f , especially the subroutine GARCHFIT and function DSNORM. I appended the code to the end of an earlier message, but it was rejected by some rule. Let me first say that I am grateful that packages for financial econometrics exist in R. Fortran 77 had PARAMETERs, and PARAMETERs equal to 99999 and 200 should

Hi all, I use XP on my laptop PC, with 30 GB HD (single partition), and a 3.5" hard drive (not a stick), accessed through a USB encasing, partitioned as five logical drives. I have successfully set up syslinux to boot several Ubuntu versions from the primary USB hard drive partition, and no problems there. The problem is, I would like to have an entry in the menu, like "Boot from

Some of you may have seen the pythag() part in the R API definition in "Writing R Extensions" (source = doc/manual/R-exts.texinfo). or followed the report and Prof. Brian Ripley's answer about pythag()'s availability from R's binary. As we say in above manual >> `pythag(A, B)' computes `sqrt(A^2 + B^2)' without overflow or >> destructive

The following behaviour (in R 0.62.3) is disturbing: > (0+0i)^2 [1] NaN+NaNi Is it deliberate?? Laimonis Kavalieris -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

The following behaviour (in R 0.62.3) is disturbing: > (0+0i)^2 [1] NaN+NaNi Is it deliberate?? Laimonis Kavalieris -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

Hi, could anyone tell me how predict() predicts the meanError or standardDerivation of a garchFit(1,1)-model, knowing the coefficients mu, omega, alpha1, beta1 and of course all datapoints? Thanks and sorry for my poor english. -- View this message in context: http://r.789695.n4.nabble.com/predict-of-garchFit-tp3826335p3826335.html Sent from the R help mailing list archive at Nabble.com.

Hello, I was using garchFit {fGarch} to fit some GARCH processes. I noticed that the result contains "Log Likelihood" value (right above "Description"), but when I use .. at fit$llh to retrieve Log Likelihood value, the sign switched. I am confused about which value I should choose to report... Any help here? Thanks a lot! Ted -- View this message in context:

hello everybody, I would like to fit a model to a times series (testing set) for out of sample predictions using garchFit(). I would like to keep the coefficients of ARMA/GARCH model fixed (as found by fitting the model to my training set). The arima fitting function has such an option for that (fixed=NULL) but the garchFit() doesnt. It is very important for me to keep the same coefficients

Hi, i am a student of tecnical mathematics in austria, and my english is not sooo good, German would be easier, but an answer in english is perfect too. I would need any help to understand the exact output of the function "garchFit". Maybe it would help me just to know what the coefficients are telling me. I do already understand well what functions like arima or garch are doing and

Dear R People: I'm trying to use the garchFit function from the library(fSeries) However, R freezes every time that I use it. Is anyone else having this problem, please? Thanks in advance! R Version 2.2.1 Windows. Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: hodgess at gator.uhd.edu

Hi, I have a problem using garchFit, when I use : x<-model$resid fit = garchFit(~garch(1, 1), data = x, cond.dist="dst") fit at fitted it gives me error : object "fit" not found Why it doesn't recognize fit? Thanks, Shirin