SmGARCH

Description

The SmGARCH class implements algorithm of the generalized autoregressive conditionally heteroscedastic model (GARCH model).

Properties inherited from ISmGARCH

  Property name Brief description
ARCHOrder

The ARCHOrder property determines autoregression order of conditional heteroscedasticity.
ARMA

The ARMA property returns autoregression and moving average parameters.
AssymetryOrder

The AssymetryOrder property determines asymmetry order.
CovarianceMatrix

The CovarianceMatrix property returns covariance matrix values.
Explained

The Explained property determines the explained series parameters.
Explanatories

The Explanatories property determines explanatory series.
Fitted

The Fitted property returns a modeling series.
Forecast

The Forecast property determines parameters of forecasting series.
GARCHCoefficients

The GARCHCoefficients property returns estimates of coefficients in autoregression conditional heteroscedasticity and generalized autoregression conditional heteroscedasticity.
GARCHOrder

The GARCHOrder property determines the order of generalized autoregression conditional heteroscedasticity.
GARCHSpec

The GARCHSpec property determines type of GARCH model.
Intercept

The Intercept method determines parameters of model constant.
LikelihoodFunctionValue

The LikelihoodFunctionValue property returns the optimal value of the likelihood function.
MaxIteration

The MaxIteration property determines the maximum number of iterations for an optimization method.
MissingData

The MissingData property determines missing data treatment parameters.
ModelPeriod

The ModelPeriod property determines sample period parameters.
OptimizationMethod

The OptimizationMethod property determines the optimization method in use.
RegressionCoefficients

The RegressionCoefficients property determines parameters of regression coefficients for a model.
Residuals

The Residuals property returns a residual series.
ResidualsDispersion

The ResidualsDispersion property returns residuals variance.
ResidualsDispersionForecast

The ResidualsDispersionForecast property returns residuals variance forecast.
StationarityCondition

The StationarityCondition property determines the use of the stationarity condition.
SummaryStatistics

The SummaryStatistics property returns summary statistics.
Tolerance

The Tolerance property determines accuracy.
UseDefaultInitValues

The UseDefaultInitValues property determines whether default initial approximations are used.

Properties inherited from IStatMethod

  Property name Brief description
DisplayName The DisplayName property returns the displayed method name.
ErrorByStatus The ErrorByStatus property returns an error message by the error number.
Errors The Errors property returns a message with all the errors and warnings.
Name The Name property returns the internal method name.
PerformanceTime The PerformanceTime property returns method execution time.
Status The Status property returns the method execution status.
SupportsR The SupportsR property returns whether statistical method can be calculated via R package.
UseR The UseR property determines whether statistical method is calculated via the R package.
WarningByStatus The WarningByStatus property returns a warning text by its number.
Warnings The Warnings property returns the warnings that occurred on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on method calculation.

Methods inherited from IStatMethod

  Method Name Brief description
Clone The Clone method clones a statistical method object.
Execute The Execute method executes a statistical method.
LoadFromXML The LoadFromXML method loads statistical method settings from XML code.
SaveToXML The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes