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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Time | Country | Indices | Period |
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04:00 | Expected Annual Inflation 2y from now | 4 quarter | |
07:00 | Economy Watchers Survey | Oct | |
10:30 | New Yuan Loans | Oct | |
01:30 | Westpac Consumer Sentiment | Nov | |
01:50 | M2 Money Supply + CD | Oct | |
02:30 | NAB Business Confidence | Oct | |
08:00 | Prelim Machine Tool Orders | Oct | |
09:00 | CPI | Oct | |
09:00 | Harmonized CPI | Oct |