The Research On Early-warning Of Financing Risk Of Coal Listed Companies On BP Neural Network

Coal resources has been guarantee for China's economic and social development,and the healthy development of the coal listed companies are of great significance for steady and rapid development of our country economy and the steady development of financial markets.But coal listed companies hide huge financing risks of long payback period,tremendous usage of capital,single financing channels and financing difficulty.Then the state has emphasized the supply-side reform policies of the coal enterprises to make integration of coal resources and coal enterprise merger and reorganization,which will need a lot of external funding support and can lead to coal deposit insufficient funds of listed companies and coal listed company a big debt burden even financing risk.Coal listed companies having a higher risk of financing will not only lead to corporate debt overdue,shareholders' equity losses,coal delisting of listed companies and even bankruptcy.Therefore,we need to effectively prevent and control the financing risk of coal listed.In addition,this paper has realistic meaning,studying evaluation of the risk early warning of coal listed companies' financing can warn enterprises their own financing risks.And the research of this paper is of theoretical significance.The research method of the early warning model in this paper has an important contribution to the early-warning technology of financing risk.This paper firstly introduces the definition of coal listed companies on early warning of financing risk and related theory,including the definition of coal listed company,the specific performance type of financing risk,the related overview of financing risk warning and its theoretical basis.Then,to correctly select the relevant warning indexes of financing risk,this paper mainly expounds the current situation of financing risk and the existing problems of financial warning,to analyzes the current situation of financing risk and make the index of early-warning of financing risk more pertinence.The existing problems analysis of financial warning can make the early warning model of this paper more comprehensive.selecting early-warning indicators related to the financing of coal listed companies and processes the selected indicators.By using the MATLAB software,establishing the BP neural network model to build early warning of financing risk model of coal listed companies,and simulating prediction of coal listed companies' financing risk.It is concluded that the status of the coal listed companies' financing risk in the future.Finally,this paper makes some suggestion from two angles of the company's internal and external activities to ensure that improvement of the financing efficiency of coal listed companies and prevent finance risk.Conclusion of the article is predicting the 23 coal listed companies' financing risk profile and analyzing the reasons of the risk situation.Innovation of this article is using the BP network model to predict financing risk of coal listed companies.