ARIMA (1,0,0) is equivalent to _____________
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ARIMA(1,0,0) = first-order autoregressive model: if the series is stationary and autocorrelated, perhaps it can be predicted as a multiple of its own previous value, plus a constant. The forecasting equation in this case is
Ŷt = μ + ϕ1Yt-1
…which is Y regressed on itself lagged by one period. This is an “ARIMA(1,0,0)+constant” model. If the mean of Y is zero, then the constant term would not be included.
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