Table 5 The metrics of fundamental indicators for DNN with MLP or LSTM.

From: Forecasting stock prices changes using long-short term memory neural network with symbolic genetic programming

Fundamental indicators

Metric

SGP-MLP

SGP-LSTM

MLP

LSTM

2020

 Rank IC

− 7.15%

− 6.70%

− 2.95%

− 2.46%

 ICIR

− 4.20

− 3.90

− 2.79

− 2.25

 Excess R above 300

− 7.87%

− 5.83%

1.39%

− 3.53%

 Excess R above 500

− 3.35%

− 1.20%

6.28%

1.15%

 Excess R above average

0.27%

2.39%

10.01%

4.84%

 Sharp ratio

0.04

0.34

1.84

1.01

2021

 Rank IC

− 7.13%

− 7.25%

− 1.04%

− 2.13%

 ICIR

− 4.24

− 5.58

− 0.80

− 2.72

 Excess R above 300

45.71%

41.29%

31.96%

23.85%

 Excess R above 500

21.40%

17.49%

9.92%

2.91%

 Excess R above average

12.77%

8.83%

1.62%

− 4.61%

 Sharp ratio

1.67

1.38

0.27

− 0.91

2022

 Rank IC

− 9.86%

− 9.99%

− 1.58%

− 4.07%

 ICIR

− 6.11

− 7.32

− 1.26

− 5.08

 Excess R above 300

35.99%

34.59%

20.57%

20.60%

 Excess R above 500

34.54%

33.12%

18.96%

19.16%

 Excess R above average

19.05%

17.84%

5.27%

5.46%

 Sharp ratio

2.77

3.09

0.69

1.26