Is the small and medium-sized enterprisescredit default behavior affected by their owners credit features?
Identifying and measuring credit risk of small and medium-sized enterprises should be different from that of large firms, for SMEs appear to be influenced by their owners more directly and significantly. This paper attempts to testify the relationship between default behaviors of SMEs and the credit features of their owners, so that a more appropriate and effective way of credit management of SMEs could be applied in practice. After segregating the owners characteristics data into variables of basic features, credit capacity features and credit will features, this paper implement an empirical study of logistic regression analysis with repeat sampling data. The result demonstrates that, compare with the owners credit will variables, variables reflected credit capacity features share more significant relationship with the SMEs credit default behavior. Specifically, the age of owner, the inquiry frequency of owners credit information for post-loan risk management and pro-loan approval purpose, and the proportion of overdue loans are the extreme significant variables which are valuable indicators in default risk estimate model.
Rubing YANG Wanting Wang Xin ZHOU
Waterloo-CUFE Industry Research Laboratory Central University of Finance and Economics Beijing, Chin School of Finance Central University of Finance and Economics Beijing, China
国际会议
International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)
武汉
英文
1-4
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）