gotheta | R Documentation |
This function returns an object of class GoGARCH
based on an
input vector of Euler angles.
gotheta(theta, object, garchlist = list(init.rec = "mci", delta = 2, skew = 1, shape = 4, cond.dist = "norm", include.mean = FALSE, include.delta = NULL, include.skew = NULL, include.shape = NULL, leverage = NULL, trace = FALSE, algorithm = "nlminb", hessian = "ropt", control = list(), title = NULL, description = NULL))
theta |
Vector of Euler angles. |
object |
An object of formal class |
garchlist |
List with optional elements passed to |
In a first step the orthogonal matrix U is computed as the
product of rotation matrices given the vector theta
of Euler
angles with the function UprodR
. The linear map Z is
computed next as Z = P D^{\frac{1}{2}} U'. The unobserved
components Y are calculated as Y = X Z^{-1}. These are
then utilized in the estimation of the univariate GARCH models
according to object@garchf
. The conditional variance/covariance
matrices are calculated according to V_t = Z H_t Z' whereby
H_t signifies a matrix with the conditional variances of the
unvariate GARCH models on its diagonal.
Returns an object of class GoGARCH
.
Bernhard Pfaff
Van der Weide, Roy (2002), GO-GARCH: A Multivariate Generalized Orthogonal GARCH Model, Journal of Applied Econometrics, 17(5), 549 – 564.
Goinit
, GoGARCH
,
Goestml
, garchFit
## Not run: library(vars) data(VDW) var1 <- VAR(VDW, p = 1, type = "const") resid <- resid(var1) gin <- goinit(resid, scale = TRUE) gotheta(0.5, gin) ## End(Not run)
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