The SmGARCH class implements algorithm of the generalized autoregressive conditionally heteroscedastic model (GARCH model).
Property name | Brief description | |
The ARCHOrder property determines autoregression order of conditional heteroscedasticity. | ||
The ARMA property returns autoregression and moving average parameters. | ||
Outdated. Use ISmGARCH.ARMA. | ||
The AssymetryOrder property determines asymmetry order. | ||
Outdated. Use ISmGARCH.AssymetryOrder. | ||
Outdated. Use ISlARMAGARCH.OrderAR. | ||
The CovarianceMatrix property returns covariance matrix values. | ||
The Explained property determines the explained series parameters. | ||
The Explanatories property determines explanatory series. | ||
The Fitted property returns a modeling series. | ||
The Forecast property determines parameters of forecasting series. | ||
The GARCHCoefficients property returns estimates of coefficients in autoregression conditional heteroscedasticity and generalized autoregression conditional heteroscedasticity. | ||
The GARCHOrder property determines the order of generalized autoregression conditional heteroscedasticity. | ||
The GARCHSpec property determines type of GARCH model. | ||
The Intercept method determines parameters of model constant. | ||
The LikelihoodFunctionValue property returns the optimal value of the likelihood function. | ||
The MaxIteration property determines the maximum number of iterations for an optimization method. | ||
The MissingData property determines missing data treatment parameters. | ||
The ModelPeriod property determines sample period parameters. | ||
Outdated. Use ISmGARCH.GARCHSpec. | ||
Outdated. Use ISlARMAGARCH.OrderMA. | ||
The OptimizationMethod property determines the optimization method in use. | ||
The RegressionCoefficients property determines parameters of regression coefficients for a model. | ||
The Residuals property returns a residual series. | ||
The ResidualsDispersion property returns residuals variance. | ||
The ResidualsDispersionForecast property returns residuals variance forecast. | ||
The StationarityCondition property determines the use of the stationarity condition. | ||
The SummaryStatistics property returns summary statistics. | ||
The Tolerance property determines accuracy. | ||
The UseDefaultInitValues property determines whether default initial approximations are used. |
Property name | Brief description | |
The DisplayName property returns the displayed method name. | ||
The ErrorByStatus property returns an error message by the error number. | ||
The Errors property returns a message with all the errors and warnings. | ||
The Name property returns the internal method name. | ||
The PerformanceTime property returns method execution time. | ||
The Status property returns the method execution status. | ||
The SupportsR property returns whether statistical method can be calculated via R package. | ||
The UseR property determines whether statistical method is calculated via the R package. | ||
The WarningByStatus property returns a warning text by its number. | ||
The Warnings property returns the warnings that occurred at method calculation. | ||
The WarningsCount property returns the number of warnings that occurred at the method calculation. | ||
The WarningsNumbers property returns numbers of warnings that occurred at the method calculation. |
Method Name | Brief description | |
The Clone method clones a statistical method object. | ||
The Execute method executes a statistical method. | ||
The LoadFromXML method loads statistical method settings from XML code. | ||
The SaveToXML method unloads statistical method settings to XML code. |
See also: