Research On Financial Early-warning System Of The Innovational Enterprises

According to American scholars Kumpe and Plet analysis, a few decades, the mainstream enterprise patterns have developed from the initial efficiencial oriented enterprise, quality oriented companies, and later flexible enterprise, is now changing to innovative enterprises. Construction o innovative companies can provide strong support with building an innovative country, and innovative business-building process is nonlinear complex process with a wide range of innovative cluster types and a number of innovative dynamic integration systems, much more complex risk factors than simply technological innovation process. So it has prominent features of high-risk and high yield.System analysis method have used in this paper, an innovative corporate financial early warning system have been carried out by means of qualitative analysis and quantitative analysis for the promotion of innovative enterprises in China's development and growth of innovative enterprises for long-term strategic planning, and it have provided with the value of a detailed implementation guidance. At the same time, it can improve the management level and promote innovative companies healthy, rapid and sustainable development. It also can deal with the subjective business stakeholders effectively because the focus of investors and creditors is a financial situation of enterprises. Compared with the traditional enterprise, innovative enterprise has its own characteristics. The particularities of innovative enterprises have decided their properties of the formation, development, management and other aspects. Through in-depth research on innovation-oriented enterprises and its financial characteristics of the property, and build innovative corporate financial early warning system and response mechanism, the formation of enterprises based on innovative financial management strategies for sustainable development theory.Innovation process with characteristics of random, accidental and arbitrary, and thus significant inconsistencies have been showed between investment and income. Technology innovation project investment is occurring in a timely manner, and transformation of the output is lagging behind; No investment, it will not start, develop and complete innovation and commercialization. However, the process of innovation and commercialization is not necessarily generated revenue. That is high input that may not have a high income. Thus it performs high-risk, high return and high volatility. For the causes of financial crisis, foreign academics have different views. This study uses behavioral economics, decision-making into overconfidence bias, herding, and several other parts of the decision-making bias to the analysis, and pointed out that the two paths, one over-confidence led to excessive expansion which led to the financial crisis; the second is Overconfidence led to underestimation of the risk which led to the financial crisis. In addition to manager's emotions, herding in investment led to the financial crisis. The third area of content is bui t around the proposed research questions, namely, the definition of the financial crisis and the role of the path factors. By the survey of innovative enterprises in Sichuan, Hunan, Guangdong, Zhejiang, Jiangsu, Shanghai and Chongqing etc. The financial crisis factors have built up6dimensions, that is the external environment, risk awareness, strategic decision-making, enterprise management, internal control mechanisms, corporate governance respectively. Data analysis showed that, from risk awareness, strategic decision-making, enterprise management, internal control mechanisms, corporate governance does have a negative effect of the financial crisis.In reference to Altman Z's model, the model multivariate analysis have carried out and introduced principal component analysis of enterprise financial crisis in early warning. The article24of the total sample is a "financial cris s" and the corresponding business the same number of "non-financial crisis" enterprises. That are144sample records of48enterprises within three years. The total sample was divided into two groups:one group estimated that the sample group; another set of samples for the test group. The data us to estimate the sample group of early-warning model building, and the sample group with test data to test the effectiveness of early warning models.Based on the principle of selecting a comprehensive, effective, the principle of convergence, but also has a certain objectivity, to identify and predict the indicators of the treatment process, to minimize the iteration level. According to existing research results, combined with China's actual situation and the availability of financial data, select the following20financial indicators as a theoretical system of financial distress, including its solvency indicators, profitability indicators, operational capability index, increased capacity indicators and cash flow targets. The predictive accuracy of early warning model of listed company financial condition by Clementine10.0related modeling have reached more than89%, which based on the analysis on the main factor-clustering and neural network model. Finally, according to the model, information system function structure has studied on the early warning model preliminarily.The purpose of controlling the charged amount of the controlled object is equal to or close to a given value from the perspective of automatic control theory. From a financial management point of view, it is to make the financial position and operating results back to health, at or near target levels. The technical framework consists of three parts, namely, the external environment, financial crisis and financial crisis of control. The results of the current enterprise financial crisis, the interface between the organic and management procedures are still significant deficiencies, serious constraints of the financial crisis early warning technology and promotion. This chapter expounds the theory of financial crisis, and methods of control from the perspective of automatic control theory. This Aimed at improving the policy control of the application, and so as to achieve early warning technology to further promote. The paper have provided Amoi with examples of organizations in establishing financial early warning, building financial information collection and analysis mechanisms, financial risk management mechanism. So that the financial early warning systems not only to guide the daily operation and management of enterprises, but also build new administrative functions:routine early warning function, correct function and immune function.