Table 4

MASE predictive accuracy of cyclical model comparing to ARIMA, regARIMA, TBATS, H-W Model and ANN methods

ModelsTraining/Estimation (Sample period)Test (Out of sample period)
PeriodMASEPeriodMASE
BDI
ARIMA(0,1,1)2000–20160.14720170.116
Reg with ARMA2000–20160.14920170.122
TBATS2000–20160.14220170.110
HW additive2000–20160.16120170.109
HW multiplicative2000–20160.15020170.074
ANN(lag 2, c(10,11))2000–20160.18220170.076
System dynamics2000–20160.138*20170.067*
Handysize
ARIMA(1,1,4) (1,0,0)[12]2000–20160.09620170.141
Reg with ARMA2000–20160.09420170.094
TBATS2000–20160.091*20171.000
HW additive2000–20160.10320170.086
HW multiplicative2000–20160.10520170.160
ANN(lag 2, c(9,9))2000–20160.09620170.053
System dynamics2000–20160.09820170.047*
Panamax
ARIMA(2,1,1) (0,0,1)[12]2000–20160.10120170.183
Reg with ARMA2000–20160.10120170.174
TBATS2000–20161.0020170.161
HW additive2000–20160.11420170.068
HW multiplicative2000–20160.11220170.042
ANN(lag 2, c(9,9))2000–20160.10020170.064
System dynamics2000–20160.096*20170.036*
Capesize
ARIMA(2,1,1) (0,0,1)[12]2000–20160.11720170.151
Reg with ARMA2000–20160.11820170.110
TBATS2000–20160.11620170.140
HW additive2000–20160.12720170.098
HW multiplicative2000–20160.11920170.122
ANN(lag 2, c(9,9))2000–20160.12520170.036
System dynamics2000–20160.113*20170.034*
Supramax
ARIMA(2,1,1) (0,0,1)[12]2000–20160.09920170.125
Reg with ARMA2000–20160.09920170.094
TBATS2000–20160.096*20170.083
HW additive2000–20160.11020170.059
HW multiplicative2000–20160.10320170.066
ANN(lag 2, c(9,9))2000–20160.09720170.050*
System dynamics2000–20160.10020170.053

Note(s): *Italic figures indicate the minimum error rate in given column

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