Description Slots Extends Methods Author(s) References
The class is returned by calling the function dccforecast
.
mforecast
:Object of class "vector"
- multivariate forecast
uforecast
:Object of class uGARCHmultiforecast
Class "mGARCHforecast"
, directly.
Class "GARCHforecast"
, by class "mGARCHforecast", distance 2.
Class "rGARCH"
, by class "mGARCHforecast", distance 3.
signature(object = "DCCforecast")
: multivariate distribution shape vector.
signature(object = "DCCforecast")
: multivariate distribution skew vector.
signature(object = "DCCforecast")
: forecast data matrix.
signature(x = "DCCforecast", y = "missing")
: plot method, given additional arguments
‘series’ and ‘which’.
signature(object = "DCCforecast")
: Dynamic Conditional Correlation Array.
signature(object = "DCCforecast")
: Dynamic Conditional Covariance Array.
signature(object = "DCCforecast")
: summary.
signature(object = "DCCforecast")
: univariate forecast sigma matrix.
signature(object = "DCCforecast")
: summary.
Alexios Ghalanos
Engle, R.F. and Sheppard, K. Theoretical and empirical properties of dynamic conditional
correlation multivariate GARCH, 2001, NBER Working Paper.
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