Forecasting under non-gaussianity
Posted: Tue Apr 12, 2011 1:06 pm
Dear Tom,
I urgently need your valuable suggestions about my inflation forecasting paper under reviewing process. in that paper we are comparing forecasting accuracy of alternative models ANN, ARIMA and unobserved components models.
Referee reports are quite positive but they want additional estimates. One of the referees suggest us to use a forecasting model that would allow asymmetry and heavy tales, however he did not explicitly refer to any methodology. The only clue that we have just this sentence. Do you suggest any method to deal with asymmetry in the data? is it possible to use GARCH type models in this case? If so do you have any written RATS code for dynamic and and static forecasting with GARCH models?
Any help would be greatly appreciated.
Thanks
ps I'm using RATS 7.1
I urgently need your valuable suggestions about my inflation forecasting paper under reviewing process. in that paper we are comparing forecasting accuracy of alternative models ANN, ARIMA and unobserved components models.
Referee reports are quite positive but they want additional estimates. One of the referees suggest us to use a forecasting model that would allow asymmetry and heavy tales, however he did not explicitly refer to any methodology. The only clue that we have just this sentence. Do you suggest any method to deal with asymmetry in the data? is it possible to use GARCH type models in this case? If so do you have any written RATS code for dynamic and and static forecasting with GARCH models?
Any help would be greatly appreciated.
Thanks
ps I'm using RATS 7.1