智能优化算法下的金融安全风险感知监控研究--基于COVID-19期间中国社交网络区域数据  

Research on Financial Security Risk Perception Monitoring under Intelligent Optimization Algorithm:Based on Regional Data of China’s Social Network During COVID-19

作　　者：田婧倩 刘晓星[2] TIAN Jingqian;LIU Xiaoxing(School of Management Science and Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Economics and Management,Southeast University,Nanjing 211189,China)

机构地区：[1]南京信息工程大学管理工程学院,南京210044 [2]东南大学经济管理学院,南京211189

出　　处：《计量经济学报》2023年第2期570-588,共19页China Journal of Econometrics

基　　金：国家重点研发计划项目(2021QY2100);国家自然科学基金(72173018);国家社科重大专项(18VSJ035)。

摘　　要：如何构建有效的金融安全风险监控系统以实现对金融安全风险感知的监测与防控,一直是金融安全风险防范研究的重点.本文基于多种智能优化算法,采用2020年1月至12月的社交网络文本信息数据,针对不同状况下的金融安全风险感知情况展开仿真实验.研究发现,考虑智能优化算法的风险感知监控体系可以对真实情况下的社交网络金融安全风险感知进行实时有效的防控.本文运用中国社交网络真实数据完成了基于智能优化算法下的风险感知实时监测,为我国金融系统提高社交网络信息引导效率、防控投资者风险感知的跨区域冲击,提供了监控策略与政策依据.Building an effective financial security risk monitoring system to realize the monitoring and prevention of financial security risk perception has always been the focus of financial security risk prevention research.Based on a variety of intelligent optimization algorithms,this paper uses social network text information data from January to December 2020 to conduct simulation experiments for financial security risk perception under different conditions.The study has been found that the risk perception monitoring system considering the intelligent optimization algorithm can effectively prevent and control the social network financial security risk perception in real situations.This paper provides a theoretical explanation and policy basis for China’s financial system to improve social network information monitoring and prevent the cross-regional impact of investors’risk perception.

关 键 词：智能优化算法 社交网络 金融安全 风险感知 监控系统 

分 类 号：F832[经济管理—金融学] F224