Research On Financial Risk Control Of Mango Excellent Media Based On BP Neural Network

Benefiting from the rapid popularization of network carriers and the support of national policies,the cultural media industry has ushered in new development opportunities.The application of new network technologies has realized the transformation from traditional media to Internet media in the new era,and the industry has ushered in a stage of savage growth.In recent years,due to the painful period of domestic economic restructuring,the constant friction in China-Us trade relations,and the uncertainties brought about by the COVID-19 pandemic,the external environment has taken a sharp turn for the worse,and the development trend of the cultural media industry that has lasted for several years has changed.The gap between top enterprises and tail enterprises is increasing,and the waist enterprises are accelerating the polarization.The traditional long media era is in decline,and the content of we media is developing rapidly.Industrial development opportunities and challenges coexist,the uncertainty of the external environment makes the necessity of enterprises to hone internal forces significantly increased,each enterprise is very concerned about their own financial risks,in order to avoid potential threats to the development of their own long-term stable development.As a leading enterprise in the field of culture and media in China,Mango Excellent Media has experienced large fluctuations in its reputation and financial health in the process of business expansion in recent years.With increasing market pressure,the market performance is not optimistic.Therefore,by identifying and evaluating the financial risks of Mango Excellent Media,timely control the potential financial risks,which will help Mango Excellent Media to consolidate its position in the industry,optimize the financial risk control system,and escort the long-term development of Mango Excellent Media.This paper adopts the case study method,takes Mango Excellent Media as the research object,and uses BP neural network to build the financial risk identification model of cultural media industry.First,the current financial risks of Mango Excellent Media were identified,and the identification result was "gray interval",indicating that Mango Excellent Media had potential financial risks,and it was necessary to further evaluate the financial status of the enterprise.Second,it evaluates the financial risks of Mango Excellent Media and finds that there are potential financial risks in financing,investment,operation,development and cash flow.At present,the business precision of Mango Excellent Media is low,and the low quality peripheral business has dragged down the corporate yield;The business team is unstable,and the departure of core members weakens the efficiency of product development and the stability of operation;The financing channel is single,the payment is slow,and the cash flow stability of the enterprise is poor.Finally,put forward the risk control suggestion.In view of the investment risk,it is suggested to further improve the precision of the business and improve the input-output ratio of the core business.In view of financing risk,debt structure and financing decision-making system should be improved;In view of liquidity risk,enterprises need to do a good job of cash flow monitoring,strictly control cash flow;In view of the development risk,only by optimizing the management system,creating high-quality IP,and closely following the mainstream values,can the enterprise achieve long-term development.