Assembly: Stat;
Namespace: Prognoz.Platform.Interop.Stat;
The ISmGARCH interface defines the parameters of the generalized autoregressive conditionally heteroscedastic model (GARCH model).
ISmGARCH
GARCH model is used in econometrics to find relation between variance of the current error and squared errors for previous observations. Autoregression members are used to describe error variance.
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Outdated.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Outdated.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Outdated.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Outdated.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Outdated.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: