Application of Higher Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast-Reference-Cited by-同舟云学术

Application of Higher Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast

Published:2021-12-15 Issue:1 Volume:7 Page:893-900
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Zhang Liqin¹,Tian Xiaojing¹,Chabani Zakariya²

Affiliation:

1. North China Institute of Aerospace Engineering , Langfang , China

2. Department of International Business, Faculty of Management , Canadian University Dubai , Dubai , United Arab Emirates

Abstract

Abstract In order to improve the modelling efficiency in dynamic system prediction, this paper proposes a predictive model based on high-order normal differential equations to model high-order differential data to obtain an explicit model. The high-order constant differential equation model is reduced, and the numerical method is used to solve the predictive value. The results show that the method realises the synchronisation of model establishment and parameter optimisation, and greatly enhances the modelling efficiency.

Publisher

Walter de Gruyter GmbH

Subject

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

Link

https://www.sciendo.com/pdf/10.2478/amns.2021.1.00074

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