Based On Efficacy Coefficient Method Of Y Company Financial Risk Early Warning System For Building Research

Economic globalization for the development of enterprises to create good opportunities, but also risks and challenges. The 2008 financial crisis and in 2011 in Europe and America and other countries on China’s photovoltaic industry "anti-dumping", "countervailing" survey, have a serious impact on the development of China’s photovoltaic industry, the photovoltaic industry is facing the risk of more and more poor financial risk control and bankrupt enterprises abound. Companies need to establish a sound and effective risk warning system to predict and prevent financial risks facing enterprises.In this paper, Company Y PV companies for the study, combing researches on financial risk early warning theory, comparative study of the various financial early warning methods, identify the most suitable operating characteristics of the Y warning model efficacy coefficient method and analyzed superiority on efficacy coefficient method. On the basis of the use of efficacy coefficient method, based on the analysis of the overall financial situation of enterprises and Y selected indicators from profitability, operational, solvency and capacity development to build the financial early warning system for early warning and Analysis of Financial Condition Company Y, Y is two consecutive losses of listed companies face delisting risk, the financial situation is not optimistic, its early warning analysis has a positive meaning, according to the final results of early warning and alert Y’s source analysis, the effective prevention of financial risks measures.Based on the study of efficacy coefficient method and Y company’s financial position, build a financial risk early warning system. The shortcomings of traditional efficacy coefficient method, first set only a satisfactory value and the value is not allowed, no big gap between the segments, followed by the distribution rights basis points and adjusting the weight of the fixed 60 points and 40 points, reducing the warning sensitivity and accuracy. In response to these two shortcomings were innovative approaches:increasing the quality evaluation criteria, divided into excellent, good, average, low, poor grades and five standard criteria to determine the coefficient corresponding grade for lack of improvement in the second aspect is the proportion allocated tradition efficacy coefficient method to allocate a fixed proportion of change. Through early warning systems built on the Y company risk early warning, early warning results with the actual situation of Y’s matches, the result is a valid warning. Financial risk early warning systems and risk control measures We build photovoltaic industry enterprise risk prediction and prevention and control of certain reference value.