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racd installation

Dear Alexios,

I have tested "rmgarch.test4.R" in the rmgarch package, and when I run the
rmgarch.test4b commands:
+ variance.model = list(model = "gjrGARCH", garchOrder = c(1,1)),
+ distribution.model = c("mvnorm", "manig", "magh")[2],
+ ica = "fastica")
+ solver = "solnp", cluster = cluster, gfun = "tanh", maxiter1=20000,
+ A.init = diag(15))
There were 15 warnings (use warnings() to see them)
Warning messages:
1: unidentified option(s) in fit.control:
 eval.se

I tried to solve this by adding:
M.gg = fmoments(spec3x, Data = P, n.ahead = 1, roll = 8,  *fit.control =
list(fixed.se <http://fixed.se> = FALSE, stationarity = TRUE, scale =
FALSE)*,
                solver = "solnp", cluster = cluster, gfun = "tanh",
maxiter1=20000,
                A.init = diag(10))

But I have difficulties interpreting how this fit.control affect the model.

Lastly, I tried to apply my own data to the same script and I received
these warnings:
list(fixed.se = FALSE, stationarity = TRUE, scale = FALSE),
+                 solver = "solnp", cluster = cluster, gfun = "tanh",
maxiter1=20000,
+                 A.init = diag(10))
Warning messages:
1: In sqrt(ans$h) : NaNs produced
2: In sqrt(ans$h) : NaNs produced
3: In sqrt(ans$h) : NaNs produced
4: In sqrt(ans$h) : NaNs produced

I have some returns that equal to 0 can this be a problem? Would M.gg be
invalid as a consequence of these warnings?

Regards,
Vis



On Wed, Sep 21, 2016 at 1:26 PM, Open Business Management Solutions JSC <
openbmsjsc at gmail.com> wrote: