- The (2,0,0) model implies an AR(2) model with no differencing and no MA terms. Ensure this is the correct specification for your data.
- 'k' should be a positive integer indicating how many steps ahead you want to forecast.
- If the model includes a constant term and the data is mean-reverting around a constant level, forecasts can appear constant, especially if no trend or seasonal components are present.
Forcast function for ARMA models
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Patricia Alejandra Palacios Romero
el 18 de Jul. de 2018
Comentada: Aman
el 1 de Oct. de 2024
I'm trying to use the built-in function forecast. But when I apply it I'm just getting a constant value. Is there any reason for that? or am I just using it wrong? Here is more or less the code:
toEstMdl = arima(2,0,0);
EstMdl = estimate(toEstMdl,Residuals);
estValues = forecast(EstMdl,k);
1 comentario
Aman
el 1 de Oct. de 2024
As per my understanding below could be the possible reasons why you are getting constant value as the output of the "forecast" function:
Please try to analyse your code as per the above. Hope it helps!
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