| Contents | Index |
Function Reference | Alphabetical List Class Reference |
|
| adftest | Augmented Dickey-Fuller test |
| aicbic | Akaike and Bayesian information criteria |
| archtest | Engle test for residual heteroscedasticity |
| autocorr | Sample autocorrelation |
| collintest | Belsley collinearity diagnostics |
| corrplot | Plot predictor correlations |
| crosscorr | Sample cross-correlation |
| egcitest | Engle-Granger cointegration test |
| i10test | Paired integration and stationarity tests |
| jcitest | Johansen cointegration test |
| jcontest | Johansen constraint test |
| kpsstest | KPSS test for stationarity |
| lbqtest | Ljung-Box Q-test for residual autocorrelation |
| lmctest | Leybourne-McCabe stationarity test |
| lmtest | Lagrange multiplier test of model specification |
| lratiotest | Likelihood ratio test of model specification |
| parcorr | Sample partial autocorrelation |
| pptest | Phillips-Perron test for one unit root |
| recessionplot | Add recession bands to time series plot |
| vratiotest | Variance ratio test for random walk |
| waldtest | Wald test of model specification |
|
| hpfilter | Hodrick-Prescott filter for trend and cyclical components |
| garchget | Get ARMAX/GARCH model specification parameters |
| garchset | Set ARMAX/GARCH model specification parameters |
| garchfit | Estimate ARMAX/GARCH model parameters |
| garchinfer | Infer ARMAX/GARCH model innovations |
| garchplot | Plot ARMAX/GARCH model responses |
| garchpred | Forecast ARMAX/GARCH model responses |
| garchsim | Simulate ARMAX/GARCH model responses |
| garchar | Convert ARMA model to AR model |
| garchcount | Count ARMAX/GARCH model parameters |
| garchdisp | Display ARMAX/GARCH model parameters and statistics |
| garchma | Convert ARMA model to MA model |
| lagmatrix | Create matrix of lagged time series |
| price2ret | Convert prices to returns |
| ret2price | Convert returns to prices |
|
| vgxget | Get VARMAX model specification parameters |
| vgxset | Set VARMAX model specification parameters |
| vgxinfer | Infer VARMAX model innovations |
| vgxplot | Plot VARMAX model responses |
| vgxpred | Forecast VARMAX model responses |
| vgxproc | Generate VARMAX model responses from innovations |
| vgxsim | Simulate VARMAX model responses |
| vgxvarx | Estimate VARX model parameters |
| vartovec | Vector autoregression (VAR) to vector error-correction model (VEC) |
| vectovar | Vector error-correction (VEC) to vector autoregression (VAR) |
| vgxar | Convert VARMA model to VAR model |
| vgxcount | Count VARMAX model parameters |
| vgxdisp | Display VARMAX model parameters and statistics |
| vgxloglik | VARMAX model loglikelihoods |
| vgxma | Convert VARMA model to VMA model |
| vgxqual | Test VARMAX model for stability/invertibility |
| interpolate | Brownian interpolation of stochastic differential equations |
| sde | Create SDE model from user-specified functions |
| simByEuler | Euler simulation of stochastic differential equations (SDEs) |
| simulate | Simulate multivariate stochastic differential equations (SDEs) |
| sdeddo | Create sdeddo model from Drift and Diffusion objects |
| simByEuler | Euler simulation of stochastic differential equations (SDEs) |
| sdeld | Construct stochastic differential equation from linear drift-rate models |
| sdemrd | Construct stochastic differential equation from mean-reverting drift-rate models |
| bm | Brownian motion models |
| gbm | Create GBM model |
| simByEuler | Euler simulation of stochastic differential equations (SDEs) |
| simBySolution | Simulate approximate solution of diagonal-drift HWV and GBM processes |
| heston | Create Heston model |
| hwv | Create HWV model |
| simBySolution | Simulate approximate solution of diagonal-drift HWV and GBM processes |
| cir | Cox-Ingersoll-Ross mean-reverting square root diffusion models |
| cev | Construct constant elasticity of variance models (objects of class CEV) |
| diffusion | Construct diffusion-rate model components |
| drift | Construct drift-rate model components |
| ts2func | Convert time series arrays to functions of time and state |
| filter (LagOp) | Apply lag operator polynomial to filter time series |
| isEqLagOp (LagOp) | Determine if two LagOp objects are same mathematical polynomial |
| isNonZero (LagOp) | Find lags associated with nonzero coefficients of LagOp objects |
| isStable (LagOp) | Determine stability of lag operator polynomial |
| LagOp | Create lag operator polynomial (LagOp) object |
| minus (LagOp) | Lag operator polynomial subtraction |
| mldivide (LagOp) | Lag operator polynomial left division |
| mrdivide (LagOp) | Lag operator polynomial right division |
| mtimes (LagOp) | Lag operator polynomial multiplication |
| plus (LagOp) | Lag operator polynomial addition |
| reflect (LagOp) | Reflect lag operator polynomial coefficients around lag zero |
| toCellArray (LagOp) | Convert lag operator polynomial object to cell array |
![]() | Performance Considerations | Class Reference | ![]() |
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