Table 2

Selected ARIMA and NNAR Models for forecasting

RoutesARIMA-level seriesARIMA-log-transformed seriesNNAR- level seriesNNAR- log-transformed series
SEAFI compositeARIMA(3,1,2)ARIMA(0,1,3)SNNAR(2,1,2)52SNNAR(2,1,2)52
SingaporeARIMA(1,0,3)ARIMA(5,0,0)SNNAR(2,1,2)52SNNAR(1,1,2)52
VietnamARIMA(0,1,4)ARIMA(1,1,0)SNNAR(2,1,2)52SNNAR(2,1,2)52
ThailandARIMA(1,1,0)ARIMA(1,1,0)SNNAR(2,1,2)52SNNAR(2,1,2)52
The PhilippinesARIMA(0,1,2)ARIMA(0,1,2)SNNAR(7,1,4)52SNNAR(7,1,4)52
MalaysiaARIMA(1,1,0)ARIMA(1,1,0)SNNAR(2,1,2)52SNNAR(2,1,2)52
IndonesiaARIMA(3,1,2)ARIMA(3,1,2)SNNAR(2,1,2)52SNNAR(2,1,2)52

Note(s): As estimated models are based on training samples, they are the same for both one-step and four-step forecasting. Model parameters of the ARIMA models are available on request

Source(s): Authors work

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