Displaying 20 results from an estimated 30000 matches similar to: "garchFit problem"
2006 Nov 22
0
questions about garchFit
Hi all,
I was trying garchFIt() of fSeries to fit volatility of monthly log returns
of S&P500. I tried residuals of normal, student t, skew normal, skew t. But
all innovations except normal got exaxtly same coefficients, even if I
changed their parameters of skew and shape.
Is this correct for the data or something wrong? I am attaching the code,
thank you.
Muster
#GARCH analysis of
2010 Mar 17
1
Reg GARCH+ARIMA
Hi,
Although my doubt is pretty,as i m not from stats background i am not sure
how to proceed on this.
Currently i am doing a forecasting.I used ARIMA to forecast and time series
was volatile i used garchFit for residuals.
How to use the output of Garch to correct the forecasted values from ARIMA.
Here is my code:
###delta is the data
fit<-arima(delta,order=c(2,,0,1))
fit.res <-
2006 Nov 22
2
problems with 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
2012 Mar 11
0
specify GARCH model, using garchFit()
Hello,
I’ve fitted a Garch(2,1) model with function 'garchFit()' from the package
'fGarch':
> m1 <- garchFit(formula = ~garch(2,1),data = X,trace = F)
* See 'summary(m1)' OUTPUT BELOW *
PROBLEM: My alpha1 term is not significant and I would like to make a NEW
model, say m2, that does not contain alpha1, but I am not sure how to
specify this with the garchFit()
2008 Mar 24
0
ARCH(1,0) with t-residuals
Dear R users,
I need to estimate an ARCH(1,0) model with t-residuals. To do this I use garchFit
function from fGarch library. However, I get the following error message:
Error in.garchInitParameters (formula.mean = formula.mean, formula.var =
formula.var, ): object "alpha" not found
I tried to estimate this model with different series, but I always get this error message.
For example,
2007 Jul 19
0
fSeries GARCH(1,1)
Hello all, I am trying to use the "garchFit" function in the fSeries Package
to fit a Garch(1,1) Model with t distribution. I am using the following
codes.
fit <- garchFit(~garch(1,1),data,cond.dist="dstd")
fitted(fit)
I was expecting the fitted(fit) would return the fitted volatility, but the
result turns out to be a series of repeated same value. I tried to change
the
2009 Jun 30
1
garchFit in fGarch fitted values are all the same
Dear all-
Package /fGarch/ version 2100.78 in R version 2.8.1 (2008-12-22)
running on linux 2.6.22.9-91.fc7
In trying to fit garch models in above environment. I am getting
"reasonable" fitted coefficients, but the fitObject@fitted are all the
same. This is true even for the help page example:
library(fGarch)
R> X.timeSeries = as.timeSeries(msft.dat)
R> head(
+
2005 Dec 13
1
fSeries
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$series
All the coefficients are ok
2010 Jul 14
0
fGarch: garchFit() with fixed coefficents
hello everybody,
I would like to fit a model to a times series (testing set) for out of
sample predictions using garchFit(). I would like to keep the coefficients
of ARMA/GARCH model fixed (as found by fitting the model to my training
set). The arima fitting function has such an option for that (fixed=NULL)
but the garchFit() doesnt.
It is very important for me to keep the same coefficients
2010 Aug 15
2
fGarch: how to use garchFit() in loop?
Dear expeRts,
How can I specify the order p,q of a GARCH(p,q) model within a loop? Here's a minimal example showing that an "Formula and data units do not match"-error appears:
library(fGarch)
spec <- garchSpec(model = list(alpha = 0.1, beta = c(0.4, 0.4)))
data <- garchSim(spec, n = 100)
x <- list()
for(q in 1:3){
print(q)
x[q] <-
2011 Sep 15
0
garchFit
Hi,
i am a student of tecnical mathematics in austria, and my english is not
sooo good, German would be easier, but an answer in english is perfect too.
I would need any help to understand the exact output of the function
"garchFit". Maybe it would help me just to know what the coefficients are
telling me.
I do already understand well what functions like arima or garch are doing
and
2007 Jan 06
1
garchFit in R
Dear all,
I have problem here :
I'm using garchFit from fSeries package, here is part of the script :
> data <- read.table("d:/data.txt")
> a <- garchFit(~garch(1,1),ts(data))
I also attached the file here. In my experience, I got my R not responding.
I also tried with
> a <- garchFit(~garch(1,1),ts(data*10))
and it's worked.
I
2008 Dec 30
1
A mistake in garchFit()? {fGarch}
Hello,
I was using garchFit {fGarch} to fit some GARCH processes.
I noticed that the result contains "Log Likelihood" value (right above
"Description"), but when I use .. at fit$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:
2009 Jun 19
1
using garchFit() to fit ARMA+GARCH model with exogeneous variables
Hello -
Here's what I'm trying to do. I want to fit a time series y with
ARMA(1,1) + GARCH(1,1), there are also an exogeneous variable x which I
wish to include, so the whole equation looks like:
y_t - \phi y_{t-1} = \sigma_t \epsilon_t + \theta \sigma_{t-1}
\epsilon_{t-1} + c x_t where \epsilon_t are i.i.d. random
variables
\sigma_t^2 = omega + \alpha \sigma_{t-1}^2 + \beta
2013 Feb 17
0
forecast ARMA(1,1)/GARCH(1,1) using fGarch library
Hi, i am working in the forecast of the daily price crude .
The last prices of this data are the following:
100.60 101.47 100.20 100.06 98.68 101.28 101.05 102.13 101.70 98.27
101.00 100.50 100.03 102.23 102.68 103.32 102.67 102.23 102.14 101.25
101.11 99.90 98.53 96.76 96.12 96.54 96.30 95.92 95.92 93.45
93.71 96.42 93.99 93.76 95.24 95.63 95.95 95.83 95.65
2006 Jul 06
1
Problem with garchFit function in fSeries
I used garchFit function to fit 1600 observations of EURO/USD 2-day returns
in GARCH(1,1) model.
As part of the summary I got warning message:
NaNs produced in: sqrt(diag(fit$cvar))
And didn't get any estimates for 3 params' std.error, t value or
probability:
Error Analysis:
Estimate Std. Error t value Pr(>|t|)
mu -0.004827 0.020141 -0.240 0.811
ar1 0.010311
2007 Dec 12
1
APARCH
Hi,
Could somebody say if it is possible to compute APARCH-models with garchFit
commands.
I have earlier used aaa (garchOxFit) and now I try to use bbb (look below)
aaa <-
garchOxFit(formula.mean=~arma(1,0),formula.var=~aparch(1,1),series=nyk,cond.dist=c('gaussian'))
bbb <- garchFit(formula=~arma(1,0)+aparch(1,1),data=nyk)
aaa works well, but I need other characteristics of
2011 May 04
1
fGarch
Hi,
I am attempting to fit a ARMA/GARCH regression model without success.
### ARIMA-GARCH model with regressor ###
### Time series data: A multivariate data set.
cov.ts.dq = cov.ts[1:4,"dq1"][!is.na(cov.ts[,"dq1"])]
cov.ts.day = ts.intersect(dq = diff(q.ts), day = lag(q.ts, -1))
### The following R scripts work:
(summary(no.day.fitr <- garchFit(dq ~ arma(0,3) +
2009 Apr 06
1
Problem with Extracting Fitted Values from fGarch package
Good day everyone,
I fitted a GARCH model to a time series and R estimated the model and provide me with the estimates. However, when I tried to extract the fitted values from the estimated model I got the following error message:
"Error in .local(object, ...) : object "fit" not found"
I used the following to extract the fitted values
fitted_TASI <- fitted(garchFit(~
2009 Apr 29
1
arma model with garch errors
Dear R experts,
I am trying to estimate an ARMA 2,2 model with garch errors.
I used the following code on R 2.9.
#library
library(fGarch)
#data
data1<-ts(read.table("C:/Users/falcon/Desktop/Time
Series/exports/goods1.csv"), start=c(1992,1), frequency=12)
head(data1)
#garch
garchFit(formula.mean= ~arma(2,2),formula.var=~garch(1,1), data=data1)
but get this error:
>