A Research On The Chinese Real Estate Listed Companies' Financial Risk Pre-Warning

This study was funded by the National Natural Science Foundation of the real estate price andreturn mixing evaluation system,70,573,066"and Shanxi Province Soft Science Fund project" riskinvestment projects online trading system,2011041005-03"for listed real estate companies thespecific circumstances, the use of the112listed real estate companies of the first three years ofsample data (2007) estimated the samples, application of SPSS17.0build logistic financial riskearly warning model based on principal component analysis, and the Shanghai and Shenzhen ashares and B119listed real estate company's annual report data, in2010, the share of this modelwas tested to obtain a better prediction. The main work is as follows:(1) Construct real estate listed companies' financial risk pre-warning indicator systemFor the development status of China's listed real estate companies and their financial risks faced by,and draw on relevant literature, from the enterprise's profitability, solvency, the beginning of theasset operational capacity, size and development capacity, the ability of cash flow and the six areasof the level of riskchose the27financial indicators to build a Chinese real estate listed companies'financial risk pre-warning indicator system.(2) Construct real estate listed companies' financial risk pre-warning model and have anEmpirical TestSelected sample of112listed real estate companies, independent samples T-test andnonparametric Mann-Whitney U-test screening, selected27financial indicators ultimately selected21significant indicators and financial indicators extracted principal componentson this basis, thethe Logistic financial risk pre-warning model and tested the predictive ability of the model to thesample data for2010, and achieved good prediction...