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
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