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 |
|---|---|---|---|
| 11:00 | Ifo Business Climate Index | Jan | |
| 11:00 | Ifo Current Assessment | Jan | |
| 11:00 | IFO - Expectations | Jan | |
| 15:30 | Durable Goods Orders | Nov | |
| 16:00 | NBB Business Climate | Jan | |
| 01:50 | Corporate Service Price Index | Dec | |
| 02:01 | BRC Shop Price Index | Jan | |
| 02:30 | NAB Business Confidence | Dec | |
| 04:00 | Credit Card Spending | Dec |
