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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Group of 30 - G30
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ECONOMIC CALENDAR
| Time | Country | Indices | Period |
|---|---|---|---|
| 08:30 | Producer & Import Prices | Mar | |
| 11:00 | Industrial Production | Feb | |
| 14:30 | Manufacturing Shipments | Feb | |
| 14:30 | Wholesale Sales | Feb | |
| 14:30 | Retail Sales | Mar | |
| 14:30 | NY Fed Empire State manufacturing index | Apr | |
| 16:00 | Business Inventories | Feb | |
| 16:00 | NAHB Housing Market Index | Apr | |
| 04:00 | Real GDP | 1 quarter |
