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| Documentation → Econometrics Toolbox |
| Contents | Index |
| Learn more about Econometrics Toolbox |
Function Reference | Alphabetical List |
|
| hpfilter | Hodrick-Prescott filter |
| garchfit | Estimate univariate GARCH process parameters |
| garchpred | Univariate GARCH process forecasting |
| garchsim | Univariate GARCH process simulation |
| garchget | Get value of GARCH specification structure parameter |
| garchset | Create or modify GARCH specification structure |
| garchplot | Plot GARCH innovations, volatility, and return series |
| vgxar | Convert VARMA model to pure VAR model |
| vgxcount | Count total and active parameters in multivariate time series model |
| vgxdisp | Display multivariate time series model parameters and standard errors in different formats |
| vgxget | Get multivariate time series specification parameters |
| vgxinfer | Infer innovations of multivariate time series process |
| vgxloglik | Loglikelihoods of multivariate time series process |
| vgxma | Convert VARMA model to pure VMA model |
| vgxplot | Plot multivariate time series process |
| vgxpred | Transient forecast response of multivariate time series process |
| vgxproc | Multivariate time series process generated from innovations process |
| vgxqual | Qualify multivariate time series process |
| vgxset | Create or modify multivariate time series specification |
| vgxsim | Simulate multivariate time series process |
| vgxvarx | Calibration of VAR or VARX models |
| adftest | Augmented Dickey-Fuller test for unit root |
| aicbic | Akaike and Bayesian information criteria |
| archtest | Engle's ARCH test |
| autocorr | Autocorrelation |
| crosscorr | Cross-correlation |
| kpsstest | KPSS stationarity test |
| lbqtest | Ljung-Box Q-test |
| lmtest | Lagrange multiplier test |
| lratiotest | Likelihood ratio test |
| parcorr | Partial autocorrelation |
| pptest | Phillips-Perron unit root test |
| vratiotest | Variance ratio test for random walk |
| waldtest | Wald test |
| bm | Brownian motion models |
| cev | Construct constant elasticity of variance models (objects of class CEV) |
| cir | Cox-Ingersoll-Ross mean-reverting square root diffusion models |
| diffusion | Construct diffusion-rate model components |
| drift | Construct drift-rate model components |
| gbm | Geometric Brownian motion models |
| heston | Heston stochastic volatility models |
| hwv | Hull-White/Vasicek mean-reverting Gaussian diffusion models |
| interpolate | Brownian interpolation of stochastic differential equations |
| sde | Construct stochastic differential equation models |
| sdeddo | Construct stochastic differential equation from drift and diffusion models |
| sdeld | Construct stochastic differential equation from linear drift-rate models |
| sdemrd | Construct stochastic differential equation from mean-reverting drift-rate models |
| simByEuler | Euler simulation of stochastic differential equations (SDEs) |
| simBySolution | Simulate approximate solution of diagonal-drift HWV and GBM processes |
| simulate | Simulate multivariate stochastic differential equations (SDEs) |
| ts2func | Convert time series to functions of time and state |
| garchar | Convert finite-order ARMA models to infinite-order AR models |
| garchcount | Count number of GARCH estimation coefficients |
| garchdisp | Display GARCH process estimation results |
| garchinfer | Infer GARCH innovation processes from return series |
| garchma | Convert finite-order ARMA models to infinite-order MA models |
| lagmatrix | Lagged time series matrix |
| price2ret | Convert price series to return series |
| ret2price | Convert return series to price series |
![]() | Performance Considerations | Functions — Alphabetical List | ![]() |
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