基于人工智能TVP-FAVAR模型的财务风险动态仿真系统

Nannan Sun
{"title":"基于人工智能TVP-FAVAR模型的财务风险动态仿真系统","authors":"Nannan Sun","doi":"10.1109/ICKECS56523.2022.10060405","DOIUrl":null,"url":null,"abstract":"The financial risk dynamic simulation system is a computer based, artificial intelligence based system designed to predict and control financial risks by simulating the humancomputer interactive development environment. The purpose of this paper is to bring convenience to people and provide financial risk early warning system. Only by accurately grasping the characteristics, attributes, size and change trend of financial risks, can economic entities have a target, suit the remedy to the case, and formulate effective financial management plans. The foundation of mastering financial risks lies in financial risk assessment. This paper mainly uses the way of experimental testing, using control variables to detect the system. The experimental results show that when the number of concurrent times is 60, the CPU utilization of the database server of the analysis module and the early warning module is the same, and the response time is less than 0.3s. Therefore, the system can be applied to financial risk detection.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"381 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Simulation System of Financial Risk Based on Artificial Intelligence TVP-FAVAR Model\",\"authors\":\"Nannan Sun\",\"doi\":\"10.1109/ICKECS56523.2022.10060405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The financial risk dynamic simulation system is a computer based, artificial intelligence based system designed to predict and control financial risks by simulating the humancomputer interactive development environment. The purpose of this paper is to bring convenience to people and provide financial risk early warning system. Only by accurately grasping the characteristics, attributes, size and change trend of financial risks, can economic entities have a target, suit the remedy to the case, and formulate effective financial management plans. The foundation of mastering financial risks lies in financial risk assessment. This paper mainly uses the way of experimental testing, using control variables to detect the system. The experimental results show that when the number of concurrent times is 60, the CPU utilization of the database server of the analysis module and the early warning module is the same, and the response time is less than 0.3s. Therefore, the system can be applied to financial risk detection.\",\"PeriodicalId\":171432,\"journal\":{\"name\":\"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)\",\"volume\":\"381 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICKECS56523.2022.10060405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICKECS56523.2022.10060405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

金融风险动态模拟系统是一种基于计算机、基于人工智能的系统,通过模拟人机交互的开发环境来预测和控制金融风险。本文的目的是为人们带来便利,提供金融风险预警系统。经济实体只有准确把握金融风险的特征、属性、规模和变化趋势,才能有的放矢,因地制宜,制定有效的财务管理方案。掌握财务风险的基础在于财务风险评估。本文主要采用实验测试的方式,利用控制变量对系统进行检测。实验结果表明,当并发次数为60时,分析模块和预警模块的数据库服务器CPU利用率相同,响应时间小于0.3s。因此,该系统可以应用于金融风险检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Simulation System of Financial Risk Based on Artificial Intelligence TVP-FAVAR Model
The financial risk dynamic simulation system is a computer based, artificial intelligence based system designed to predict and control financial risks by simulating the humancomputer interactive development environment. The purpose of this paper is to bring convenience to people and provide financial risk early warning system. Only by accurately grasping the characteristics, attributes, size and change trend of financial risks, can economic entities have a target, suit the remedy to the case, and formulate effective financial management plans. The foundation of mastering financial risks lies in financial risk assessment. This paper mainly uses the way of experimental testing, using control variables to detect the system. The experimental results show that when the number of concurrent times is 60, the CPU utilization of the database server of the analysis module and the early warning module is the same, and the response time is less than 0.3s. Therefore, the system can be applied to financial risk detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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