<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Department of International Business, Faculty of Management

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to improve the efficiency of dynamic system prediction modelling, this paper proposes a predictive model based on high-order normal differential...

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

Pubblicato online: 27 dic 2021

Pagine: 2009 - 2016

Ricevuto: 17 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.2.00114

Parole chiave
High-order constant differential equation model, dynamic system modelling, financial investment, stock price

© 2023 Liqin Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Pubblicato online: 27 dic 2021

Pagine: 2009 - 2016

Ricevuto: 17 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.2.00114

Parole chiaveHigh-order constant differential equation model, dynamic system modelling, financial investment, stock price

© 2023 Liqin Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
High-order constant differential equation model, dynamic system modelling, financial investment, stock price