The Financial Early Warning Research On The Construction Building Of China's Listed Companies

The construction industry is the pillar industry of the national economy,it is closely linked to the entire national economy and it's an important factor affecting the country's comprehensive national strength.the good development of the construction industry has great importance both for the country's economic development and social stability of our country in terms.Once construction industry occurs financial crisis,not only endanger their own survival and development,but also bring losses to investors and other related industries.Therefore,building an effective financial risk early warning model has great practical significance.After sorting and summarizing other scholars,the paper defines the financial risk as a generalized financial risk and determines the financial risk factors and warning procedures.Comparing other methods,the paper selects a technical method of rough sets and BP neural network combining.On the indicator system,the paper selectes 18 financial and 6 non-financial indicators about construction companies and constructs the financial risk warning indicator system of listed companies.In the empirical analysis,the paper selects numbers of listed companies of construction,reductions index system to simplify the neural network input layer by rough set,while using cluster analysis to dividing four categories of financial status as a progressive neural network output layer,the paper proves that BP neural network has a better warning effect by multiple runs of samples.Finally,according to the current situation and the empirical results of the financial risk of listed companies of construction,the paper gives three policy recommendations in order to provide help for the development of listed companies of construction.