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Table 4 Performance of forecasting models on daily closing price forecasting

From: Extreme learning with chemical reaction optimization for stock volatility prediction

Forecasting ModelError StatisticMAPEARV
TrainingTestingTrainingTesting
ELCROMinimum0.0000450.0004110.0000150.000053
Maximum0.0335550.0604000.0115150.023319
Average0.0047960.0077520.0109370.039628
Std. Deviation0.0037820.0076210.0451430.022178
PSO-ELMMinimum0.0008000.0005020.0000150.000045
Maximum0.0343000.0621500.0572450.066450
Average0.0058590.0091340.0210150.042197
Std. Deviation0.0039690.0077000.0079290.026065
GA-ELMMinimum0.0000450.0055000.0000030.000145
Maximum0.0569550.1157000.2439220.178250
Average0.0180700.0188790.0496060.052889
Std. Deviation0.0161990.0123630.0509270.023889
GD-ELMMinimum0.0055550.0073770.0010550.037350
Maximum0.1046500.1209770.0982500.122322
Average0.0518290.0583340.0713170.086307
Std. Deviation0.0039600.0097520.0100090.026347