[R-SIG-Finance] ugarchfit - Weighted Ljung-Box Test and ARCH LM Test
Josh Segal
jo@hu@@@eg@l @ending from gm@il@com
Mon Oct 22 20:34:21 CEST 2018
Lukas,
The rugarch vignette references this paper, have you read it?
http://cecas.clemson.edu/~cgallag/publications/FishGal.pdf
For more details you can follow references therein.
Josh
On Mon, Oct 22, 2018 at 2:29 PM Lukas Halbeisen <lhalbeisen using gmail.com>
wrote:
> Hi Amit,
>
> thanks for your quick reply. :)
>
> I invested today another 4 hours to find some adequate information,
> which lags should be tested. As well, I checked "Applied Econometric
> Time Series" from Enders to find some appropiate information to this
> matter, but with no result.
>
> Would you be so kind to give me some more details to the references you
> are talking about? Or can you tell me how the methodology is called,
> that would be very helpful for me.
>
> Thank you very much and best regards,
> Lukas
>
> Am 20.10.2018 um 21:38 schrieb Amit Mittal:
> > Try and get hold of basic econometric texts like today and enders (two
> > separate authors) it is a well described methodology
> >
> > On Sun 21 Oct, 2018, 12:55 AM Lukas Halbeisen, <lhalbeisen using gmail.com
> > <mailto:lhalbeisen using gmail.com>> wrote:
> >
> > Hi all,
> >
> > I am currently working on my master thesis and have to evaluate some
> > GARCH-Modells.
> >
> > What I am wondering:
> >
> > How are the lags picked up for the Weighted LB-Test as well as for
> > the
> > ARCH LM Test.
> >
> > For instance I have fitted a GARCH(3,3)-Modell:
> >
> > Weighted Ljung-Box Test on Standardized Squared Residuals
> > ------------------------------------
> > statistic p-value
> > Lag[1] 9.052 0.002624
> > Lag[2*(p+q)+(p+q)-1][17] 14.593 0.070672
> > Lag[4*(p+q)+(p+q)-1][29] 20.134 0.129824
> > d.o.f=6
> >
> >
> > The lags are calculated by the formular 2*(p+q)+(p+q)-1. But what
> > is the
> > reason? Is there any reference where this kind of calculation has
> > been
> > described?
> >
> >
> > Weighted ARCH LM Tests
> >
> > ------------------------------------
> > Statistic Shape Scale P-Value
> > ARCH Lag[7] 1.375 0.500 2.000 0.2409
> > ARCH Lag[9] 1.462 1.485 1.796 0.6476
> > ARCH Lag[11] 2.596 2.440 1.677 0.6695
> >
> >
> > Same for the ARCH-LM modell. I have 6 d.o.f. but why does rugarch
> > consider the lags 7,9 and 11 as the most important ones?
> >
> > Thank you and best regards,
> > Lukas
> >
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> > --
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> > ______________________________
> >
> > Amit Mittal
> > Pursuing Ph.D. in Finance and Accounting
> > Indian Institute of Management, Lucknow
> > Visit my SSRN author page:
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> > Mob: +91 7525023664
> >
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