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Table 4 Model’s stock index closing price prediction accuracy metrics

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

Forecasting models

R2

MAE

MSE

RMSE

MAPE

TIME

EWT-S-ALOSVR

0.9999

0.9938

1.4523

1.2051

0.05%

39.0849

EWT-GRNN

0.8032

38.3487

2206.0237

46.9683

1.86%

43.5990

EWT-SVR

0.8313

36.6347

1891.1719

43.4876

1.75%

31.9757

ARMA(1,2)-GARCH(1,1)

0.9234

24.3500

858.9023

29.3070

1.15%

23.4357

EWT-RNN

0.9031

27.3415

1085.9663

32.9540

1.30%

166.5626

EWT-CNNRNN

0.9038

27.0270

1078.4001

32.8390

1.29%

202.4555

EWT-LSTM

0.8529

35.0267

1648.8686

40.6063

1.69%

223.8612

EWT-CNN

0.9037

27.4515

1079.1984

32.8512

1.32%

155.4874

EWT-PSOSVR

0.8152

38.6043

2071.8264

45.5173

1.86%

380.8867

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