Prediction and Analysis of ChiNext Stock Price Based on Linear and Non-linear Composite Model

Author:

Jiang Yueting1,Abdeldayem Marwan Mohamed2

Affiliation:

1. School of Finance , ChengDu JinCheng College , Chengdu , Sichuan , , China

2. College of Administrative Sciences , Applied Science University , Bahrain

Abstract

Abstract This article first uses the gray correlation analysis combined with the gravitational search algorithm model to model the time series linearly. In this way, the predicted value of the GEM stock price is obtained. The simulation analysis of the calculation example found that the average relative error of the prediction result of our proposed model is 0.095 and the operation efficiency is high.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Customer Churn Prediction in Telecommunication and Banking using Machine Learning: A Systematic Literature Review;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

2. Integrated Stochastic Investigation of Singularly Perturbed Delay Differential Equations for the Neuronal Variability Model;International Journal of Intelligent Systems;2023-05-26

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