st: MGARCH DCC in panel settings - error?

[Arsenio Staer <arsenio.staer@gmail.com>]

Hi Nick and Rafal,

Thank you for the answers! I approached this following way

================================= begin example =============================
use "etf.sticker_quotes_upd_32.dta", clear
sort permno date
duplicates drop permno date, force
egen id=group(permno)
su id, meanonly
scalar max_r = `r(max)'
foreach i of num 1/`=max_r' { /* instead of forvalues which has to have a numeric range? */
        use "etf.sticker_quotes_upd_32.dta", clear
        sort permno date
        qui egen id=group(permno)
        drop if id != `i'
        duplicates drop permno date, force
        drop if ret == .
        gen date_n=_n
        tsset date_n
        l permno in 1/2 if id==`i'
        noisily  mgarch dcc (ret vwretd = , noconstant) ///
 if id == `i' , arch(1) garch(1)  technique(bhhh) iterate(4000)
         predict H* if e(sample), variance
         generate double corr_ret_vwretd = H_ret_vwretd / (  sqrt(H_ret_ret) *sqrt(H_vwretd_vwretd))
         outsheet using DCC_`i'.csv , comma 

 }

================================== end example ==============================

Apologize if the code above looks unformatted.

I found out that, the series need to be -tsset- but can't be -xtset-
at least in my case, any mgarch command on -xtset- dataset gives that
error in the previous message. So i create a new dataset based on the
group and -tsset- it in the loop and run the estimation and output the
DCC time series which I'm interested in. This is an proof of concept
on the return data then i will run it on the other variables.

I'm working on the estimation itself, somehow can't achieve
convergence. The same model in OxMetrics achieves convergence in
seconds with similar log likelihood values. But that's a different
matter altogether.

Thank you,

Arsenio


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