| GARCH Toolbox | ![]() |
Simulation and Inference Using a Regression Component
Including a regression component with garchsim and garchinfer is similar to including one with garchfit.
For example, the following command simulates a single realization of 2000 observations of the innovations, conditional standard deviations, and returns. It uses the initial MATLAB default state as a random number generator seed, and incorporates the regression matrix X.
[e,s,y] = garchsim(spec, 2000, 1, [], X);
You can also use the same regression matrix X to infer the innovations and conditional standard deviations from the returns.
[eInfer, sInfer] = garchinfer(spec, y, X);
| Incorporating a Regression Model in an Estimation | Forecasting Using a Regression Component | ![]() |