I have one year of daily data for forecasting. while using auto.arima to find the best fit model, it gives me ARIMA(3,1,3). However, when I used tbats to find the best fit model, it gave me the following:
I wonder why they provided different models ( If I get it right, the BATS model is an ARMA(2,2)).
(ARIMA predictions makes more sense as BATS predictions give negative numbers which does not make sense) I also believe that my data have weekly seasonality but non of these models include any seasonality index. Attached is my timeseries plot.