Research Article

A Forecast Combination Framework with Multi-Time Scale for Livestock Products’ Price Forecasting

Table 3

Descriptive analysis of the performance between different combination methods.

Combination methodsMeanStandard deviationMinimumMaximum

Panel A: RMSE
GM-VAR1.65110.76200.85032.5871
VAR1.68120.73260.89902.5864
GM-MSE1.93030.59741.44212.6613
INV-MSE1.93090.59621.44332.6613
RANK1.98600.54261.48422.6600
HM-EW2.00420.51971.43692.6620
GM-EW2.00520.51861.43772.6620
EW2.00630.51761.43862.6621
HM-MSE2.08740.50691.43212.6627
HM-VAR2.99450.30182.72553.2860

Panel B: MAPE
GM-VAR12.082717.83511.185138.7003
VAR12.140417.79651.252838.6921
GM-MSE13.193717.87732.056039.6575
INV-MSE13.196317.87602.061439.6578
RANK13.324617.78872.333939.6407
HM-EW13.329117.76922.615239.6666
GM-EW13.332317.76732.622939.6669
EW13.335517.76562.624639.6672
HM-MSE13.472717.65922.640839.6760
HM-VAR17.211117.65712.869040.9864