Research on Chinese stock market crash early warning based on improved log-periodic power law model

被引：0
作者：
Wu, Jun-Chuan [1 ]
Tang, Zhen-Peng [1 ]
Du, Xiao-Xu [1 ]
Chen, Kai-Jie [1 ]
机构：
[1] School of Economics and Management, Fuzhou University, Fuzhou,350108, China
来源：
Wuli Xuebao/Acta Physica Sinica | 2022年 / 71卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
48
引用
收藏
相关论文
共 45 条
[41]   Research on the Geological Disaster Forecast and Early Warning Model Based on the Optimal Combination Weighing Law and Extension Method: a Case Study in China [J].
Zhang, Yichen ;
Zhang, Feng ;
Zhang, Jiquan ;
Guo, Enliang ;
Liu, Xingpeng ;
Tong, Zhijun .
POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2017, 26 (05) :2385-2395
[42]   Research of financial early-warning model for the listed electric power companies on evolutionary support vector machines based on Genetic Algorithm [J].
Sun, Wei ;
Hou, Tianhao .
Journal of Information and Computational Science, 2015, 12 (02) :601-609
[43]   Research on Frequency Modulation Ancillary Service Market Based on Three Parameter Power Law Model of Wind Power to Predict the Day-ahead Frequency Modulation Demand [J].
Guo Y. ;
Pan M. .
Pan, Mengqi (panmq77@163.com), 2021, Chinese Society for Electrical Engineering (41) :6941-6948
[44]   Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market [J].
Zhang, Yuanyuan ;
Zhao, Huiru ;
Li, Bingkang ;
Zhao, Yihang ;
Qi, Ze .
ENERGY, 2022, 252
[45]   Retraction Note: Research on prediction of power market credit system based on linear model and improved BP neural network (Soft Computing, (2023), 27, 11, (7591-7603), 10.1007/s00500-023-08124-w) [J].
Li, Daoqiang ;
Wang, Miao ;
Yan, Qingxin .
Soft Computing, 28 (Suppl 1)
12345