I`m doing a Monthly sales forecast based on some historical data. My question is when I do the Arima(p,d,q) and then I do forecast(arima_model) in order to get the fitted values, which are nicely following the historical data points, then If I take the mean values from the forecast func, which are the n-ahead predictions, they are negative and differenced, because I do d=2 for the Arima. Is there any chance to obtain a normal values for the means from the forecast function? My aim is to know the real sales for n-ahead periods. Thank you in advance!
ve already passed by this thread, but I
m not sure if it works good, because my forecasted arima values are n-ahead, so they don`t have any "undifferenced data" behind. If my data is from 50 points, the forecasted values are from 50th to 55th point. If you see what I mean by that. $\endgroup$s possible to undifference them because behind them we have the undiff data. But here I
m asking about the 51-55th forecasted n-ahead values which don`t have any normal values behind. Ok thank you! $\endgroup$