Output error while estimating realized garch model

[mectricsdonk]

{eviews-6}

Hello everyone,
I modified the GARCH example file in eviews 6 to be able to estimate a realized garch model. The model is defined as:


with rt=returns
ht=conditional variance
xt=realized kernel (high frequency data variable)
zt~nid(0,1)
ut~nid(0,sig.u)
and zt uncorrelated with ut

After running the program I get the following error:

OUTPUT is not a valid view for LOGL1 in "SHOW LOGL1.OUTPUT"

plus it gives my loglikelihood a value > zero, which shows that my program isn't correct.
What does this mean? I've uploaded the workfile as well.
Any suggestions and comments would be much appreciated.

here's the code:

Code: Select all

%path = @runpath cd %path load realizedlibrary sample s0 7/02/1999 7/02/1999 sample s1 7/05/1999 2/27/2009 smpl s1 'declaration of coefficient vectors to use in RealGARCH likelihood coef(1) omega = 0.1 coef(1) beta = 0.1 coef(1) gamma = 0.1 coef(1) xi = 0.1 coef(1) phi = 0.1 coef(2) tau = 0.1 'starting values smpl s0 series sig = -0.000319459705762157 series nl_rk = 0.00003463251778157428 'set up Realized GARCH likelihood logl logl1 logl1.append @logl logl logl1.append sig = omega(1)+beta(1)*sig(-1)+gamma(1)*nl_rk(-1) logl1.append stdz = nl_returns/@sqrt(sig) logl1.append res = nl_rk-xi(1)-phi(1)*sig-tau(1)*stdz-tau(2)*(stdz^2-1) logl1.append ressig = res^2 logl1.append logl = -0.5*(log(ressig)+res^2/ressig+log(sig)+nl_returns^2/sig) 'estimate and display results smpl s1 logl1.ml(showopts, m=1000, c=1e-5) show logl1.ouput

thanks in advance :eviews6:

[trubador]

Your program is running fine. You forgot the letter "t" in the final line of the code:
show logl1.output

[mectricsdonk]

thank you very much

[sibelcelik]

Hi mectricsdonk ,

I am currently working on Realized GARCH model, I need some codes about it. I wonder you have codes or adjust your code which you attached here? Because likelihood value is positive. Be grateful if you share your codes with me.

[sibelcelik]

Hello mectricsdonk;

I am trying to estimate Realized GARCH for a long time , however I have some problems with the code. Your code is working well with your data. But, when I estimate it using my data, standard error and t values are Non-available (NA). I explored the causes of this problem and I think that this problem is due to initial values of coefficients in the model. I realized that you use the initial values of coef(1) omega = 0.1, coef(1) beta = 0.1, coef(1) gamma = 0.1, coef(1) xi = 0.1,coef(1) phi = 0.1, coef(2) tau = 0.1 as the original GARCH model. In addition, the initial value of series nl_rk is the first observation in you nl_rk series. There exists no problem with this. However, for the initial values of sig, you used series sig = -0.000319459705762157.

My question is how you determine the initial values of sig series as -0.000319459705762157. I know that sig values can take only positive values, but you take it negative. Is there any method to choose this value? İf yes, which method you used?

Be grateful if you look at my questions.