Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 15, 2021


Pages

893-900


DOI

Article

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

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Authors

Liqin Zhang Affiliation:
North China Institute of Aerospace Engineering, Langfang 065000, China
, Xiaojing Tian Affiliation:
North China Institute of Aerospace Engineering, Langfang 065000, China
and Zakariya Chabani Affiliation:
Department of International Business, Faculty of Management, Canadian University Dubai, Dubai, United Arab Emirates


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.


Keywords

High order constant differential equation model, dynamic system modelling, financial investment, stock price, 03-00


Citation

Zhang, L., Tian, X., & Chabani, Z. (2021). Application of higher order ordinary differential equation model in financial investment stock price forecast. Applied Mathematics and Nonlinear Sciences, 6(1), 893–900. https://doi.org/10.2478/amns.2021.1.00074

Published by: Engineering Journals

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