Research On The Construction Of A Power Company Financial Risk Early Warning Index System

Traditional financial early warning theory predicts the gradual financial dilemma of a single enterprise through the financial index system,and it is difficult to predict the sudden financial distress of enterprise groups.The internal capital market allocation activities bring the characteristics of financial institutions to the capital movements of enterprise groups,making their operational risks larger than those of ordinary enterprises.Therefore,this paper effectively coupled the early warning in the traditional financial early-warning theory and the internal control theory of the internal control theory,and constructed the financial security early warning system of the enterprise group.Financial crisis and early warning analysis have always been the key and difficult points in enterprise production and operation and financial management.The occurrence of financial crisis can be seen as a microscopic small probability event,and can also be upgraded to a large scale disaster in an industry,a country and even the whole world.Regional and global financial crisis has attracted high attention from financial crisis early warning research,and has attracted continuous attention from academia.From the point of view of the enterprise,how to cope with the economic depression and the erosion of the financial crisis,identify and quickly capture the financial crisis signal,and provide the necessary information for the enterprise decision-makers and the multi stakeholder is a practical problem worthy of in-depth study.The risk control is always the key factor of an company developing and financial healthy.Building an evaluation system for company's financial index to identify the risk level is the first emergency thing.For this propose,this study is concentrate on this target to building an rational evaluation system for A electrical company to ensure its finance security.This paper constructs a multi-level mixed financial early warning system for the study of A power company for special research and evaluation,through the actual financial situation of the company data acquisition,to obtain the final impact on the final power company financial evaluation system evaluation results.This article mainly through the analysis of the financial crisis enterprises,the use of qualitative and quantitative,static and dynamic combination of methods to reveal the deterioration of the financial situation signal,to predict the possibility of the financial crisis.First,it compares the domestic and foreign financial crisis analysis and early warning research,summarizes the related theories,analyzes the dynamic characteristics of the financial crisis,points out the motivation of the financial crisis,and reveals the internal foundation of the financial crisis.Secondly,the index system of financial crisis early-warning analysis is constructed,and many traditional financial ratio indexes are selected in the aspects of the solvency,profitability and growth ability of the parties concerned.Thirdly,the matrix model of the financial crisis early-warning degree is obtained by AHP analytic hierarchy process(AHP),and the index weight of the 8 indexes is calculated.The membership degree relationship of the test samples is obtained by using the comprehensive fuzzy analysis method,and then the financial crisis stage is quantified.The paper chooses the State Grid Tianjin electric power company as a research template to reveal the possibility of financial crisis.The research results show that the evaluation results of specific data models are highly overlapped with the actual financial situation of the company.The model constructed in this paper is feasible.It can help the decision-makers and stakeholders to identify the financial crisis effectively and identify their severity.It can be used as an important decision support tool and has theoretical and practical significance.