Research Article

Modelization and Calibration of the Power-Law Distribution in Stock Market by Maximization of Varma Entropy

Table 2

Normality tests.

VariableSkewnessKurtosis value
Jarque–Bera testKolmogorov–Smirnov testAnderson–Darling test

Δt = 10 min0.305.44 < 0.001 < 0.001 < 0.001
Δt = 20 min0.195.44 < 0.001 < 0.001 < 0.001
Δt = 30 min0.245.29 < 0.001 < 0.001 < 0.001
Δt = 40 min0.255.14 < 0.001 < 0.001 < 0.001
Δt = 50 min0.205.13 < 0.001 < 0.001 < 0.001
Δt = 60 min0.195.13 < 0.001 < 0.001 < 0.001
Δt = 70 min0.194.87 < 0.001 < 0.001 < 0.001
Δt = 80 min0.194.46 < 0.001 < 0.001 < 0.001

1The data used are CSI 300 index of 2018 obtained from Wind.