| Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 4 | |
| Section | Energy Application and Ecological Resource Sustainability | |
| DOI | https://doi.org/10.1051/e3sconf/202127501013 | |
| Published online | 21 June 2021 | |
Prediction model of stock market based on Chaos Theory
Jiangxi University of Finance and Economics, Nan chang, 330013
After more than 30 years of development, China’s stock exchange market has already had a considerable scale. Modeling and forecasting stock prices is always a problem. Based on the data of three stocks given in the title, this paper analyzes the characteristics and development trend of each stock. Based on the foothold of chaos theory[1] this paper studies the nonlinear dynamic characteristics and predictability of China’s stock market, and finally tests it.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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