Research On Financial Risk Early Warning Of Internet Companies Under The Background Of Big Data

In the background of big data,data processing can not be done by conventional methods like traditional data.However,Internet enterprises are more affected by the current background.In the process of various financial activities,due to various unforeseen or controllable factors,their financial situation is uncertain,which may cause losses to enterprises.In this paper,the potential financial risks of Internet enterprises in the current context will be analyzed mathematically and statistically,so as to provide an effective basis for risk management for enterprises,which is conducive to ensuring the healthy and sustainable development of Internet enterprises.The main contents are as follows:(1)This paper mainly analyzes the potential financial risks faced by Internet enterprises,and selects reasonable risk assessment indicators,(2)Based on rough set theory,the financial risk is conceptualized,abstracted and evaluated,and the collected financial data is preprocessed according to the above risk indicators;(3)The fuzzy preprocessing algorithm is used to discretize and reduce the attributes,and the decision rules are derived;(4)Using the generated decision rules,and using the test data using the classic genetic algorithm to test it.The main innovations are as follows:(1)In the past financial early warning research,the empirical research samples are medicine,real estate,banking and other industries,but the research on financial crisis early warning of Internet industry is less.(2)Due to the differences between Internet operation characteristics and financial crisis management,the selection of financial early warning indicators of Internet listed companies is significantly different from other industries.(3)In this paper,rough set theory is applied to the empirical study of Internet listed companies in China.Some innovations have been made in content,and specific suggestions have been put forward.