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author:

Tang, Z. (Tang, Z..) [1]

Indexed by:

Scopus

Abstract:

Through comparison of the efficiency of the credit default discrimination among the KMV model based on the distance to default, the Logistic model with the distance-to-default DD and the Logistic model without the distance-to-default DD, we find the distance to default can improve the efficiency of Logistic model to discriminate the default risk of the SMEs, and the discrimination effect of the distance to default in KMV model is obviously superior to other discrimination analyses based on the financial indicators. © 2009 IEEE.

Keyword:

Credit risk; Distance-to-default; KMV model; Logistic regression

Community:

  • [ 1 ] [Tang, Z.]Management School, Fuzhou University, Fuzhou, Fujian 350002, China

Reprint 's Address:

  • [Tang, Z.]Management School, Fuzhou University, Fuzhou, Fujian 350002, China

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Source :

Proceedings of the 2009 6th International Conference on Service Systems and Service Management, ICSSSM '09

Year: 2009

Page: 799-803

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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