Research Article
Modelization and Calibration of the Power-Law Distribution in Stock Market by Maximization of Varma Entropy
Table 3
Power-law distribution test in the tail region of return distribution of CSI 300 index.
| Variable | R2 | q | | | | |
| Δt = 10 min | 0.9106 | 4.55 | 0.36 | 32.34 | −0.37 | −169.21 | Δt = 20 min | 0.9881 | 6.45 | 0.51 | 20.70 | −0.29 | −99.28 | Δt = 30 min | 0.9880 | 4.66 | 0.41 | 20.91 | −0.41 | −106.09 | Δt = 40 min | 0.9943 | 3.35 | 0.33 | 21.61 | −0.24 | 9.08 | Δt = 50 min | 0.9981 | 3.85 | 0.39 | 18.42 | −0.59 | −104.64 | Δt = 60 min | 0.9970 | 3.67 | 0.38 | 17.49 | −0.64 | −99.89 | Δt = 70 min | 0.9895 | 2.83 | 0.32 | 19.32 | 0.13 | 50.15 | Δt = 80 min | 0.9866 | 2.38 | 0.30 | 22.66 | −1.59 | −174.47 |
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1The data used are CSI 300 index of 2018 obtained from Wind.
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