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Table 2 Descriptive statistics of the main research variables

From: Research on interaction of innovation spillovers in the AI, Fin-Tech, and IoT industries: considering structural changes accelerated by COVID-19

 

(\({R}_{i}-{R}_{f}\))

(\({R}_{m}-{R}_{f}\))

BMR

SIZE

\({\sigma }_{i,AI}^{2}\)

\({\sigma }_{i,Fin-Tech}^{2}\)

ASSET

Mean

 − 0.199499

0. 2443

1.607596

6714.399

3,989,182

6,592,577

19.98299

Median

 − 0.020600

 − 0.0205

0.436205

7.806300

0.073790

0.310049

8.520000

Maximum

1.708000

0.0935

74.62687

5,699,900

4.84E + 10

1.12E + 11

11,460.00

Minimum

 − 26.01780

 − 0.1232

0.001992

 − 5.260959

 − 4.42E + 09

 − 1.46E + 10

1.000000

SD

1.876233

2.3628

3.602267

85,296.03

3.91E + 08

7.88E + 08

369.1891

Skewness

 − 10.46922

2.28

6.620854

33.45088

103.0933

123.0914

30.95241

Kurtosis

112.9281

12.13

70.92549

1591.144

11,166.87

16,147.59

959.1279

Observations

58,638

1,131

58,638

58,638

58,638

58,638

58,638

  1. The basic statistics of the seven research variables are collated in this table, and the data of mean, SD, median, max., min., kurtosis, and skewness are obtained through software calculations