This function returns a log-likelihood of the (E)DCC-GARCH model in the first stage estimation.

1 | ```
loglik.dcc1(param, dvar, model)
``` |

`param` |
initial values for a vector of the parameters |

`dvar` |
a matrix of the data |

`model` |
a character string describing the model. |

the negative of the first stage log-likelihood

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*
FIN-01-027 (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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