AUTOREGRESSIVE
A stochastic process employed in statistical calculations wherein futures values are estimated depending on a weighted sum of its past values. The autoregressive process functions under the premises that the past values affect current values. A process called AR(1) is an order process, which means that the current value depends on the immediate preceding value. An AR(2) process has the current value which depends on the two previous values.
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| Time | Country | Indices | Period |
|---|---|---|---|
| 09:00 | GDP | 3 quarter | |
| 09:00 | Current Account | 3 quarter | |
| 09:00 | Business Investment | 3 quarter | |
| 09:00 | Import Price Index | Nov | |
| 10:00 | GDP | 3 quarter | |
| 15:30 | Gross Domestic Product | Oct | |
| 15:30 | Industrial Product Price Index | Nov | |
| 15:30 | Raw Materials Price Index | Nov | |
| 17:00 | Consumer Confidence | Dec |
