On Tue, 26 Oct 2004, Blaise Roncagli wrote:
Thanks for the quick response. I have attached a dataset called
"sampledata.xls" that contains the following returns time series data:
NASDAQ, TBILL3 (3-month US treasury Bills). When running ARMA(1,1) and
GARCH(1,1) models on this data using Gretl 1.2.9 (build date 7/23/2004) on
the PC platform I get the following results:
NASDAQ: ARMA - no convergence, GARCH - runs OK
TBILL3: ARMA - no convergence, GARCH - no convergence
Thanks very much for the sample data. I wonder if perhaps there is
an issue of conversion of the data from Excel -- in particular, if
missing values are being handled correctly by gretl. I'm attaching
a version of the data in gretl format. My findings are
* ARMA(1,1) works OK for both series
* GARCH(1,1), using the current CVS code, works for NASDAQ, but not
for TBILL3
Looking at a time series plot of TBILL3, I'm not surprised that a
univariate GARCH routine has a hard time (in fact, I'm quite
surprised that R could produce estimates). The huge spike in the
T-bill rate in the early 1980s just doesn't look like a case of
conditional heteroskedasticity. But I'll try running R on the data
tomorrow.
For Windows, you can get a current snapshot, which is close to the
final 1.3.0 release, at
ftp://ricardo.ecn.wfu.edu/pub/gretl/gretl_install.exe
Allin Cottrell