Research Article
Modelization and Calibration of the Power-Law Distribution in Stock Market by Maximization of Varma Entropy
Table 5
Power-law distribution of return distribution of Shanghai Composite index.
| Variable | R2 | q | | | | |
| Δt = 10 min | 0.7706 | 4.2815 | 0.34 | 35.36 | −0.40 | −192.09 | Δt = 20 min | 0.9905 | 5.3601 | 0.44 | 24.29 | −0.32 | −117.99 | Δt = 30 min | 0.9944 | 5.0466 | 0.44 | 21.24 | −0.42 | −48.94 | Δt = 40 min | 0.9942 | 4.1136 | 0.39 | 20.74 | −0.49 | −112.10 | Δt = 50 min | 0.9972 | 4.0104 | 0.39 | 19.21 | −0.54 | −106.29 | Δt = 60 min | 0.9984 | 3.0620 | 0.32 | 20.76 | −0.78 | −128.03 | Δt = 70 min | 0.9942 | 2.4848 | 0.28 | 23.46 | −1.30 | −173.84 | Δt = 80 min | 0.9983 | 2.1926 | 0.32 | 29.76 | 1.46 | 182.78 |
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1Note. The data used are the Shanghai Composite index of 2018 obtained from Wind.
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