Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models. (5th October 2020)
- Record Type:
- Journal Article
- Title:
- Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models. (5th October 2020)
- Main Title:
- Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models
- Authors:
- Wang, Gang
Wang, Keming
Zhou, Yingying
Mo, Xiaoyan - Other Names:
- Xiao Weilin Guest Editor.
- Abstract:
- Abstract : The financial crisis is a realistic problem that the general enterprise must encounter in the process of financial management. Due to the impact of the COVID-19 and the Sino-US trade war, domestic companies with unsound financial conditions are at risk of shutdowns and bankruptcies. Therefore, it is urgently needed to study the financial warning of enterprises. In this study, three decision tree models are used to establish the financial crisis early warning system. These three decision tree models include C50, CART, and random forest decision trees. In addition, the ROC curve was used for comprehensive evaluation of the accuracy analysis of the model to confirm the predictive ability of each model. This result can provide reference for domestic financial departments and provide financial management basis for the investing public.
- Is Part Of:
- Mathematical problems in engineering. Volume 2020(2020)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-05
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2020/8036154 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14656.xml