This function returns a loglikelihood of the (E)DCCGARCH model in the first stage estimation.
1  loglik.dcc1(param, dvar, model)

param 
initial values for a vector of the parameters (npar \times 1) 
dvar 
a matrix of the data (T \times N) 
model 
a character string describing the model. 
the negative of the first stage loglikelihood
The function is used in optim
in dcc.estimation1
.
Engle, R.F. and K. Sheppard (2001), “Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH.” Stern Finance Working Paper Series FIN01027 (Revised in Dec. 2001), New York University Stern School of Business.
Engle, R.F. (2002), “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models.” Journal of Business and Economic Statistics 20, 339–350.
dcc.estimation
,
dcc.estimation1
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