Assessment on Credit Risk of Real Estate Based on Logistic Regression Model
Real estate industry,whose volatility will bring about the fluctuations of other related industries,is a basic industry highly associated with the national economy.With the development of real estate market in recent years,the non-rational growth of real estate credit of the commercial banks in China has increased the risk of real estate credit.The paper assesses the credit risk of listed real estate companies based on logistic regression model.The results show that on the whole the logistic regression model can predict accurately.The results of principal component analysis suggest that a companys capability to make profits is an important basis for the evaluation of credit risk.In addition,the assessment results of logistic regression model demonstrates that the prediction is asymmetric because the model makes a high predictive accuracy for credit non-default group,while a low predictive accuracy for credit defauh group.
Real estate credit Logistic regression model Loan risk Assessment
Li Hongli Song Liwei
Chongqing Engineering Polytechnic College,Chongqing400037,China Division of Planning and Finance,Chongqing University,Chongqing400030,China
国际会议
沈阳
英文
374-382
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）