AUTOREGRESSIVE INTEGRATED MOVING AVERAGE - ARIMA
A statistical analysis model which employs time series data to forecast future trends. It is a kind of regression analysis which seeks to forecast future movements on the random trail taken by the financial market and stocks by assessing the differences between the values in the series rather than employing actual data values. The lags of the differenced series are connoted as "autoregressive" while lags within the forecasted data are called to as "moving average."
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ECONOMIC CALENDAR
| 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 |
