Research On Business Inventories Funding Risk Warning Of XXX Corporate Based On Complex Network

With deepening of the process of global economic integration, diversification of themarket demand, competition of the increasingly fierce market, complication of market risk,the high financial risks caused by high inventory and capital turnover rate retardationremain high. So companies have to strengthen financial risk early warning capabilities toguard against financial risks. As an effective way, corporate financial risk early warningcan help companies to predict many signs of financial crisis in the production and salesprocess, and find the reasons of the worsening financial situation before the arrival of thecrisis. In this way the financial crisis will be nipped by companies’ managers with effectiveprevention and control measures in the bud. However, Wide variety of sources and Verycomplex forms make the financial risk warning as an important corporate financial earlywarning is facing severe challenges. At present, the methods made by domestic and foreignscholars of financial risk early warning are mostly based on the financial statements offinancial indicators and metrics for risk prediction, few enterprise-based capital or cashflow risk and complexity of the causes for visual and quantitative analysis presented andfinancial risk early warning of enterprise inventory not covered by basic research. As atypical small and medium manufacturing enterprise, xxx enterprise’s capital risk warning isfacing many problems too.To deal with the xxx enterprise funds high risk and the increasing complexity of thestatus, this paper introduces the theory of complex networks and establish the stock fundsnetwork on the basis of complex networks, We present a corporate stock funds risk earlywarning method based on complex networks; According to business process flow ofinventory, the inventories financial risk early warning model is established on inventoryaccounting data. the inventories financial risk early warning always focus on the key pointsof the flow of funds and the accumulation of inventory status; this paper sets stock fundscomplex network weights, thresholds, centrality and community structure to quantifyinventory and analysis of the complexity of financial risks and their impact. Finally, thecase of xxx enterprise’s business inventories capital risk warning shows me that theproposed method is feasible and effective.This paper introduces the theory of complex networks and shows me a new way to research funding risk early warning method. In the same times, the presented way based ona complex network shows xxx corporate funds or cash flow risk and complexity source andproves that it has certain reference value for early warning research.