From Regression Analysis to Artificial Intelligence: Evolution of Financial Early Risk Warning Models
Authors: 
Lijun Cai, Guanhua ZhaoAuthors Info & Claims
Pages 475 - 480
Abstract
It is common for worldwide well-known companies to go bankrupt due to financial risks, such as Lehman, General Motors, Enron, Sanguang Steamboat etc. Therefore, it is of theoretical and practical importance to establish an effective financial early risk warning analysis model based on computer theory to prevent and resolve financial risks. Meanwhile, financial distress prediction requires mathematical statistics and machine learning models covering the computer field This article summarizes and analyzes the historical research results of predictive models in order to obtain more practical value.
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Index Terms
- From Regression Analysis to Artificial Intelligence: Evolution of Financial Early Risk Warning Models
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Published In
June 2021
807 pages
ISBN:9781450390231
DOI:10.1145/3473714
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- Chongqing Univ.: Chongqing University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 August 2021
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- Refereed limited
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ICCIR 2021
ICCIR 2021: 2021 International Conference on Control and Intelligent Robotics
June 18 - 20, 2021
Guangzhou, China
Acceptance Rates
ICCIR '21 Paper Acceptance Rate 131 of 239 submissions, 55%;
Overall Acceptance Rate 131 of 239 submissions, 55%
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