Risk Early Warning And Response Of X Securities' IPO Projects Based On BP Neural Network

The IPO market is an important part of China's securities market.The recent launch of the Science and Technology innovation Board means that China's IPO market reform has been further deepened and the development speed has been further accelerated.In the fast-growing IPO market,securities companies,as the main responsible party of IPO projects,are particularly critical to controlling project risks.Improving the risk early warning and response level of IPO projects of securities companies is not only important for the sound development of securities companies,but also for the entire IPO market and even the securities market.This paper combines the risk management theory of securities companies,project risk management theory and BP neural network method to study the current situation of risk early warning and response of IPO projects of X Securities Co.,Ltd.,and proposes an improved method of risk early warning and response measures for different stages of IPO project operation,which helps to improve the risk control capability of X Securities' IPO project and increase the success rate of its IPO projects.The full text is divided into five chapters.The first chapter introduces the research background and research significance,the purpose is to provide a clear research framework and solid theoretical foundation for this article;the second chapter comprehensively analyzes the operation mechanism of IPO projects undertaken by X Securities Company;the third chapter builds 13 Based on the indicator system,the index of the risk factor of the IPO project of the X Securities Company is based on the indicator system.The BP neural network method is used to warn and analyze the risk of the IPO project of X Securities.The fourth chapter proposes the risk response of the IPO project of X Securities.The improvement measures of the measures;the fifth chapter summarizes the full text and looks forward to the future research work.Through the research of this paper,combined with the author's practical experience in the process of participating in IPO projects of X Securities Co.,this paper draws the following two conclusions:(1)X Securities' IPO projects risk early warning methods and countermeasures are overly dependent on the experience and judgment of practitioners.They have strong subjectivity and randomness,risk early warning standards are vague,and the process is unclear,which is very easy to conceal major risks.This paper suggests that X Securities Co.,Ltd.based on qualitative risk early warning and a certain quantitative analysis method,should properly respond to the risk of IPO project comprehensively and objectively.The BP neural network model proposed in this paper is a feasible quantitative analysis tool.(2)X Securities' existing risk control system focuses on the company level and department level.The risk early warning methods and countermeasures are relatively simple,and there is no special risk control system that focuses on individual IPO projects.Therefore,X Securities should start to establish an independent IPO project risk control mechanism,based on this,deepens and refines the IPO project risk early warning tools and countermeasures.