Research On Improvement And Application Of Financial Crisis Early Warning In The Context Of Big Data

Financial crisis early warning is an important tool to prevent financial risks.The rapid development of market and technology leads to financial crisis factors being more complex.Iron and Steel industry is pillar industry,financial crisis not only endangers the enterprises,but also impacts country and people.Establishing a good financial crisis early warning can reduce the risk,but financial index is single and the non-financial index is subjective,the effect is unsatisfactory.The value of big data index has aroused the attention of the academic,which provides an way to optimize effect.This paper selected 44 Iron and Steel listed enterprises.Firstly,discussing the value of big data index.Secondly,dealing the idnexs and constructing Logistic regression model,and posing a effect contrast between pre-introducing big data and the post-introducing.Thirdly,studying the case of Chongqing Iron and Steel in order to apply the model.This paper verifies the improvement and application of financial crisis warning model with big data index.The conclusions: Firstly,introducing big data index is an effective way to improve the model.Secondly,the model with big data is constructed and the effect is improved.Thirdly,the case study verified that the model has the universality and accuracy.The innovation: Firstly,focusing on the Iron and Steel industry,improving the reliability.Secondly,discussion the concept and feasibility of big data index which enriches the related theoretical basis.Thirdly,provideing a possbile reference for analysising the causes of financial crisis.