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Dear All, Following Zhang instructions I add the environmental variables, but now I receive the following message: > library(tcltk) Error in firstlib(which.lib.loc, package) : Can't find a usable init.tcl in the following directories: { C:\tcl\lib\tcl8.3} This probably means that Tcl wasn't installed properly. Error in library(tcltk) : .First.lib failed I'm using R Win

Dear Users, I would like to simulate an AR(1) (y_t=ct1+y_t-1+e_t) model in R where the innovations are supposed to follow a t-GARCH(1,1) proccess. By t-GARCH I want to mean that: e_t=n_t*sqrt(h_t) and h_t=ct2+a*(e_t)^2+b*h_t-1. where n_t is a random variable with t-Student distribution. If someone could give some guidelines, I can going developing the model. I did it in matlab, but the loops

Hi Folks, Please, when I ask the option reg.line at the scatterplot in package car, the OLS models includes a constant? If not how can I do it sing the following code: scatterplot(lfirms ~ lscale, data=dataset, reg.line=lm, smooth=FALSE, labels=FALSE, span=0.5, xlab="Relative Plant Fixed Cost", ylab="Relative Number of Firms", pch=c(18),

Dear Users, Can I perform panel data (fixed effects model) out of sample forecasts using R? Thanks in advance, Ricardo. [[alternative HTML version deleted]]

Hi, I'm trying to plot the forecasts I generated using the Plot.Fore function of the BootPR package. But I got an error from zoo: My data: Time Series: Start = 1 End = 18 Frequency = 1 [1] 38731 38628 39117 92809 71984 31226 58613 72360 107956 92066 [11] 95208 99098 95848 120383 110717 105680 98469 101916 Script: y1<-ts(y1);

Dear Users, I follow Andreas idea to simulate an ar(1) model with a new kind of innovation process. The new argument rand.gen, for the arima.sim function, I'm trying to generate as: tGarchGen <- function(a, b, c) { # must return a vector of random deviates (eta(t)) for (t in 1:100){ z(t) <- c+a*(eta(t)^2)+b*z(t-1) eta(t) <-rt(100, 5)*sqrt(z(t)) #rt is the R random

Hi user, I would like to know how can I compute credit rating migration matrix using R. I have 10 years data (monthly rates for each firm) and I would like to compute 12 (and more) months ahead migrations. Any hints? Best Rick [[alternative HTML version deleted]]

Hi, I'm currently beginning to use R for financial analysis (mainly Basel II benchmarks) and I would like to know if any R-User can give me some initial directions on packages and tutorials which I can use to calculate capital requirements, default probabilities, and related stuff. Thanks in advance, Rick [[alternative HTML version deleted]]

Dear Users, Consider a multivariate time series model: a_1*y(t)-...-a_k*y(t-k)=b+[c_1*z(t)-...-c_j*z(t-j)] i.e., a simple multivariate time series model with one exogenous variable. I would like to know what package can I use to do the following, using R: 1) Select k and j jointly; 2) Estimate the model; 2) Forecast h=4 steps ahead the estimated model; 4) Bootstrap the forecast, since my sample