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st: Re: conditioning reset at each gap
You should
gen t = _n
tsset t
if your daily return data are missing on weekend days and holidays.
Put them in 'business daily' context.
For more detail on this issue please see Stata Tip 40, "Taking care
of business"
http://ideas.repec.org/a/tsj/stataj/v7y2007i1p137-139.html
Kit Baum, Boston College Economics and DIW Berlin
http://ideas.repec.org/e/pba1.html
An Introduction to Modern Econometrics Using Stata:
http://www.stata-press.com/books/imeus.html
On Jan 17, 2008, at 2:33 AM, Bulent wrote:
I have daily return data and want to estimate a garch(1,1) model
as below.
.arch r, arch(1) garch(1) het(d1990) nolog
- ----results---
Number of gaps in sample: 427
(note: conditioning reset at each gap)
What does "conditioning reset at each gap" exactly imply?
When I generated a new time variable with
.egen t=fill (1 2)
and used this linear variable as the time variable, I don't get
"conditioning ..." message and the results are a little different.
I have daily data. Should I use the "daily date variable" or the t
above for my time variable?
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