Research Article
Modelization and Calibration of the Power-Law Distribution in Stock Market by Maximization of Varma Entropy
| Variable | Skewness | Kurtosis | value | Jarque–Bera test | Kolmogorov–Smirnov test | Anderson–Darling test |
| Δt = 10 min | 0.30 | 5.44 | < 0.001 | < 0.001 | < 0.001 | Δt = 20 min | 0.19 | 5.44 | < 0.001 | < 0.001 | < 0.001 | Δt = 30 min | 0.24 | 5.29 | < 0.001 | < 0.001 | < 0.001 | Δt = 40 min | 0.25 | 5.14 | < 0.001 | < 0.001 | < 0.001 | Δt = 50 min | 0.20 | 5.13 | < 0.001 | < 0.001 | < 0.001 | Δt = 60 min | 0.19 | 5.13 | < 0.001 | < 0.001 | < 0.001 | Δt = 70 min | 0.19 | 4.87 | < 0.001 | < 0.001 | < 0.001 | Δt = 80 min | 0.19 | 4.46 | < 0.001 | < 0.001 | < 0.001 |
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1The data used are CSI 300 index of 2018 obtained from Wind.
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