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

<p>In the context of Internet big data, the market characteristics of the financial market can be used to feed back its stability with the help of differential equation models. China's financial market is roughly divided into three main markets: stocks, currency and foreign exchange. The interaction of the three has promoted the development of the financial market. With this as a background, the paper aims at these three financial markets and selects relevant indicators that can reflect the indications of the financial market to construct differential equations to analyse the relationship between the three. The paper uses the nonlinear characteristics of ordinary differential equations and related algorithms to solve the three types of market models. It uses an example to demonstrate that the differential equation model proposed in this paper can feed back the evolutionary characteristics of the three, and this model can help investors produce more correct investment decisions.</p>
</abstract>

In the context of Internet big data, the market characteristics of the financial market can be used to feed back its stability with the help of differential equation models. China's financial market is roughly divided into three main markets: stocks, currency and foreign exchange. The interaction of the three has promoted the development of the financial market. With this as a background, the paper aims at these three financial markets and selects relevant indicators that can reflect the indications of the financial market to construct differential equations to analyse the relationship between the three. The paper uses the nonlinear characteristics of ordinary differential equations and related algorithms to solve the three types of market models. It uses an example to demonstrate that the differential equation model proposed in this paper can feed back the evolutionary characteristics of the three, and this model can help investors produce more correct investment decisions.

Differential equation model of financial market stability based on Internet big data

Henan University of Animal Husbandry and Economy

Department of Information System, Faculty of Computing and Information Technology

Department of Accounting and Finance, Faculty of Administrative Sciences

Applied Mathematics and Nonlinear Sciences

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

In the context of Internet big data, the market characteristics of the financial market can be used to feed back its stability with the help of differential...

Differential equation model of financial market stability based on Internet big data

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 171 - 180

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00092

Schlüsselwörter
financial market, stability differential equation, internet big data, composite index

© 2021 Hongling Chen et al., published by Sciendo

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

Differential equation model of financial market stability based on Internet big data

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 171 - 180

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00092

Schlüsselwörterfinancial market, stability differential equation, internet big data, composite index

© 2021 Hongling Chen et al., published by Sciendo

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

Schlüsselwörter
financial market, stability differential equation, internet big data, composite index