Open AccessApplication of Higher-Order Ordinary Differential Equation Model in Financial Investment Stock Price Forecast
Author(s) -
Liqin Zhang,
Tian Xiao-jing,
Zakariya Chabani
Publication year - 2021
Publication title -
applied mathematics and nonlinear sciences
Language(s) - English
Resource type - Journals
ISSN - 2444-8656
DOI - 10.2478/amns.2021.2.00114
Subject(s) - ordinary differential equation , differential equation , stock price , order (exchange) , stock (firearms) , computer science , mathematics , investment (military) , differential (mechanical device) , mathematical optimization , econometrics , economics , finance , mathematical analysis , engineering , mechanical engineering , paleontology , series (stratigraphy) , biology , aerospace engineering , politics , political science , law
In order to improve the efficiency of dynamic system prediction modelling, this paper proposes a predictive model based on high-order normal differential equations 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 achieves the synchronisation of model establishment and parameter optimisation, in addition to greatly enhancing the modelling efficiency.