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Dear all,
I fit co-integration function between two integrated variables(y1 and y2)
over different grid points:
for(i in 1:N1){
for(j in 1:N2){
co<-ca.jo(data.frame(cbind(y2[i,j,],y1[i,j,])),type="trace", K=2,
spec="transitory",ecdet="const",season=NULL,dumvar=NULL)
}}
I have already extracted gr
Dear users,
I am preparing a presentation in latex(beamer) . I would like to show parts
of my plots per click. Example, consider I have two time series x and y:
x<-ts(rnorm(100), start=1900,end=1999)
y<-ts(rnorm(100), start=1900,end=1999)
plot(x)
lines(y,col=2)
Then I imported this plot into late
Dear R users,
I need to fit and then simulate the fitted 2 state Markov-switching VAR
model. My google search shows that there is a package called MSVAR for
problems of this kind. But it seems the package is removed from the CRAN
repository.
May I get a help from someone here please?
Thanks
Mam
Dear members,
I estimated a vector error correction model (VECM) using the "ca.jo"
function in package "urca". I need to simulate the estimated model using R.
I am aware how to simulate a VAR(p) model. Since the VECM is
in difference form, I can't modify the VAR simulation codes to VECM. May
one h
l like:
x_t = A1*x_{t-1} + A2*x_{t-2} + ... + Ap*x_{t-p} + error
allowing garch effect in the error term(my data looks hetroskedastic).
Thanks
On Mon, Mar 5, 2012 at 1:46 PM, John Kerpel wrote:
> See the rmgarch package.
>
> On Mon, Mar 5, 2012 at 6:09 AM, mamush bukana wrote:
&g
Dear list,
Can one suggest me if there is an R function/package to estimate and
simulate vector autoregressive (VAR) model allowing for the GARCH effect
please?
Thanks
Mamush
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing
Some typo in my question below:
I am *attempting* to...not stempting...
Regards
Mamush
-- Forwarded message --
From: mamush bukana
Date: Sun, Feb 5, 2012 at 12:13 AM
Subject: fractional cointegration
To: r-help@r-project.org
Dear folk,
I am stempting to estimate a
Dear folk,
I am stempting to estimate a vector error correction model using a
seemingly fractionally integrated multivariate time series. The
*fracdiff *package
provides tools to estimate degree of fractional integration. But
*fracdiff *can't
help me to:
1. test equality of two degrees of fractio
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