Forecasting and Simulation

• In- or out-of-sample static or dynamic forecasting from estimated equation objects with calculation of the standard error of the forecast.

• Forecast graphs and in-sample forecast evaluation: RMSE, MAE, MAPE, Theil Inequality Coefficient and proportions.

• State-of-the-art model building tools for multiple equation forecasting and multivariate simulation.

• Model equations may be entered in text or as links for automatic updating on re-estimation.

• Display dependency structure or endogenous and exogenous variables of your equations.

• Gauss-Seidel, Broyden and Newton model solvers for non-stochastic and stochastic simulation. Non-stochastic forward solution solve for model consistent expectations. Stochasitc simulation can use bootstrapped residuals.

• Solve control problems so that endogenous variable achieves a user-specified target.

• Sophisticated equation normalization, add factor and override support.

• Manage and compare multiple solution scenarios involving various sets of assumptions.

• Built-in model views and procedures display simulation results in graphical or tabular form.

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