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

<p>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.</p>
</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.

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 modelling efficiency in dynamic system prediction, 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: 15 dic 2021

Pagine: 893 - 900

Ricevuto: 16 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.1.00074

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

© 2021 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: 15 dic 2021

Pagine: 893 - 900

Ricevuto: 16 giu 2021

Accettato: 24 set 2021

DOI: https://doi.org/10.2478/amns.2021.1.00074

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

© 2021 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