The Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Two Neural Network Models in the Context of COVID-19

Joint Authors

Feixiong-Ma, Pablo
Yingying-Zhou, Pablo
Xiaoyan-Mo, Pablo
Yiwei-Xia, Pablo

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-08-24

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

In the context of COVID-19, many companies have been affected by the financial crisis.

In order to carry out a comparative study on the accuracy of the company’s financial crisis early warning method, this study used RPROP artificial neural network and support vector machine, with 162 listed companies’ two-year panel financial indicator data as a model sample, and the test sample established a financial crisis early warning model.

The theory of comprehensive evaluation combining two kinds of neural network methods is put forward innovatively.

The predicted results can strengthen the supervision of the listed companies with risks by themselves and others and have important economic and social significance to ensure the stable operation of the listed companies, the securities market, and the national economy.

American Psychological Association (APA)

Feixiong-Ma, Pablo& Yingying-Zhou, Pablo& Xiaoyan-Mo, Pablo& Yiwei-Xia, Pablo. 2020. The Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Two Neural Network Models in the Context of COVID-19. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1195616

Modern Language Association (MLA)

Feixiong-Ma, Pablo…[et al.]. The Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Two Neural Network Models in the Context of COVID-19. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1195616

American Medical Association (AMA)

Feixiong-Ma, Pablo& Yingying-Zhou, Pablo& Xiaoyan-Mo, Pablo& Yiwei-Xia, Pablo. The Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Two Neural Network Models in the Context of COVID-19. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1195616

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1195616