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Table 5 Model’s predictive accuracy metrics for log stock index closing returns

From: The volatility mechanism and intelligent fusion forecast of new energy stock prices

 

R2

MAE

MSE

RMSE

MAPE

EWT-SVR

0.676475651

40.7906966

2254.522143

47.48180855

1.9850%

EWT-PSOSVR

0.580166447

50.02146896

2925.665553

54.08942182

2.4404%

EWT-S-ALOSVR

0.999876065

0.753951482

0.863660746

0.929333496

0.0365%

EWT-GRNN

0.562345593

45.8269164

3049.85253

55.22546994

2.2345%

EWT-CNN

0.766315883

34.24874618

1628.45863

40.35416497

1.6741%

EWT-LSTM

0.751358377

34.20940481

1732.691985

41.62561693

1.6556%

EWT-RNN

0.711200442

39.1601227

2012.537853

44.86131801

1.9055%

EWT-RNNCNN

0.903051284

21.09031406

675.599932

25.99230525

1.0221%

  1. The bold words imply that the model is the best one among other compared models