Research on the Analysis and Application of Financial Risk Early Warning Model

Di Lu, Guanhua Wang
{"title":"Research on the Analysis and Application of Financial Risk Early Warning Model","authors":"Di Lu, Guanhua Wang","doi":"10.1145/3357292.3357301","DOIUrl":null,"url":null,"abstract":"This study takes China's 43 agricultural listed companies in 2016 as a sample, which shows that the financial early warning model of China's agricultural listed companies constructed based on factor analysis method has really good predicting effect, and the system indicates that the forecast accuracies are 88.37%, 93.02%, 79.07% and 93.02% from 2013 to 2016, respectively. Also, this result demonstrates that most of the listed agricultural companies are in a state of warning and their development is not optimistic. This study has theoretical and practical significance for the analysis of the construction of financial early warning model for agricultural listed companies, which expands the theoretical boundary of this area.","PeriodicalId":115864,"journal":{"name":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3357292.3357301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study takes China's 43 agricultural listed companies in 2016 as a sample, which shows that the financial early warning model of China's agricultural listed companies constructed based on factor analysis method has really good predicting effect, and the system indicates that the forecast accuracies are 88.37%, 93.02%, 79.07% and 93.02% from 2013 to 2016, respectively. Also, this result demonstrates that most of the listed agricultural companies are in a state of warning and their development is not optimistic. This study has theoretical and practical significance for the analysis of the construction of financial early warning model for agricultural listed companies, which expands the theoretical boundary of this area.
财务风险预警模型分析与应用研究
本研究以2016年中国43家农业上市公司为样本,结果表明,基于因子分析法构建的中国农业上市公司财务预警模型具有较好的预测效果,系统表明2013 - 2016年的预测准确率分别为88.37%、93.02%、79.07%和93.02%。同时,这一结果也说明大部分农业上市公司处于预警状态,其发展不容乐观。本研究对于分析农业上市公司财务预警模型的构建具有理论和现实意义,拓展了该领域的理论边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信