本文将宏观经济、行业、公司经营以及财务比率等四方面因素纳入信用风险评级的一般性框架。在此基础上,利用非参数检验、相关性分析、因子分析以及逻辑回归法,针对房地产上市公司数据对预示违约与否的指标进行筛选,进而构建了房地产信托融资方的违约概率模型。研究表明,规模与国有控股比例在违约与否样本间存在差异,而流动比率意义大于速动类比率、存货周转率过高并非预示企业未来经营将出现问题、高负债率举债结构应结合赢利指标分析;最后PD模型应包含赢利、融资结构、偿债及流动因子。
<<This paper constructs a framework of risk rating system,in consideration of factors including macroeconomic,industry,company operations and financial ratios. Further,using the data of listed real estate companies,and based on non-parametric test,correlation analysis,FA and logistic regression,this paper screens indicators that may predict the default. Study shows that scale and state-owned holding index are remarkable in indicating the default,and current ratio is more remarkable than quick ratio. Also,higher inventory turnover does not indicate future management problem,and liability to asset rate should be combined with profit indicates when predict default. The final PD model should include profit factor,financing structure factor,debt repayment factor and liquidity factor.
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