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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lin, Yong xin Cao, Qing jie Chen, Yu shu |
| Copyright Year | 2010 |
| Abstract | In this paper, determination of the characteristics of futures market in China is presented by the method of the phase-randomized surrogate data. There is a significant difference in the obtained critical values when this method is used for random timeseries and for nonlinear chaotic timeseries. The singular value decomposition is used to reduce noise in the chaotic timeseries. The phase space of chaotic timeseries is decomposed into range space and null noise space. The original chaotic timeseries in range space is restructured. The method of strong disturbance based on the improved general constrained randomized method is further adopted to re-deternination. With the calculated results, an analysis on the trend of futures market of commodity is made in this paper. The results indicate that China’s futures market of commodity is a complicated nonlinear system with obvious nonlinear chaotic characteristic. |
| Ending Page | 1316 |
| Page Count | 12 |
| Starting Page | 1305 |
| File Format | |
| ISSN | 02534827 |
| e-ISSN | 15732754 |
| Journal | Applied Mathematics and Mechanics |
| Issue Number | 10 |
| Volume Number | 31 |
| Language | English |
| Publisher | Shanghai University Press |
| Publisher Date | 2010-10-06 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Numerical integration phase-randomized Mechanics nonlinear chaotic timeseries Mathematical Modeling and Industrial Mathematics Applications of Mathematics singular value decomposition Numerical differentiation random timeseries general constrained randomization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Mechanics of Materials Mechanical Engineering |
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