IRIS Toolbox Reference Manual

## forecast

Unconditional or conditional VAR forecasts

#### Syntax

    Outp = forecast(V,Inp,Range,...)
    Outp = forecast(V,Inp,Range,Cond,...)

#### Input arguments

- `V` [ VAR ] - VAR object.

- `Inp` [ struct ] - Input database from which initial condition will be read.

- `Range` [ numeric ] - Forecast range; must not refer to `Inf`.

- `Cond` [ struct | tseries ] - Conditioning database with the mean values of residuals, reduced-form conditions on endogenous variables, and conditioning instruments.

#### Output arguments

- `Outp` [ struct ] - Output database with forecasts of endogenous variables, residuals, and conditioning instruments.

#### Options

- `'cross='` [ numeric | `1` ] - Multiply the off-diagonal elements of the covariance matrix (cross-covariances) by this factor; `'cross='` must be equal to or smaller than `1`.

- `'dbOverlay='` [ `true` | `false` ] - Combine the output data with the input data; works only if the input data is a database.

- `'deviation='` [ `true` | `false` ] - Both input and output data are deviations from the unconditional mean.

- `'meanOnly='` [ `true` | `false` ] - Return a plain database with mean forecasts only.

- `'omega='` [ numeric | empty ] - Modify the covariance matrix of residuals for this forecast.

#### Description

#### Example

IRIS Toolbox. Copyright © 2007—2013 Jaromir Benes.