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Credit risk measurement and early warning of SMEs: An empirical study of listed SMEs in China

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成果类型:
期刊论文
作者:
Chen, Xiaohong;Wang, Xiaoding;Wu, Desheng Dash*
通讯作者:
Wu, Desheng Dash
作者机构:
[Chen, Xiaohong; Wang, Xiaoding] Cent S Univ China, Sch Business, Changsha 410083, Hunan, Peoples R China.
[Wu, Desheng Dash] Univ Toronto, RiskLab, Toronto, ON, Canada.
[Wu, Desheng Dash] Univ Toronto, RiskLab, 19 Borden ST, Toronto, ON, Canada.
通讯机构:
[Wu, Desheng Dash] U
Univ Toronto, RiskLab, 19 Borden ST, Toronto, ON, Canada.
语种:
英文
关键词:
Asset size;Credit risk;Distance to default (DD);Early warning;KMV model;Small and medium enterprises (SMEs);Split share structure reform
期刊:
Decision Support Systems
ISSN:
0167-9236
年:
2010
卷:
49
期:
3
页码:
301-310
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [70921001, 70631004]
机构署名:
本校为第一机构
摘要:
In the process of resolving financing difficulties of small and medium enterprises (SMEs) in China, the measurement of credit risk of SMEs is a very challenging problem. In this paper we develop a novel model based on the original KMV model with tunable parameters to measure the credit risk of Chinese listed SMEs. By setting two credit warning lines to monitor the credit crisis of listed SMEs, we find that the predictive accuracy of adjusted KMV model is stable to the change of default points in Chinese listed SMEs, which is different from KMV ...

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