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author:

Tang Zhenpeng (Tang Zhenpeng.) [1] | Liao Jingjing (Liao Jingjing.) [2]

Indexed by:

CPCI-SSH

Abstract:

This paper aims to analyze the accuracy and effectiveness to predict the credit risk and the internal relationships between the KMV model based on market information and the Logistic model based on financial information, so that empirical basis can be provided for measuring the credit risk in manufacturing industry. This paper shows that it is feasible and advantageous to combine KMV Model with Logistic Model to measure the credit risk in manufacturing industry, by using the data of Chinese listed manufacturing companies between 2001 and 2009 as the reseach sample.

Keyword:

Credit risk KMV model Logistic model Manufacturing industry

Community:

  • [ 1 ] [Tang Zhenpeng]Fuzhou Univ, Fuzhou 350002, Peoples R China
  • [ 2 ] [Liao Jingjing]Fuzhou Univ, Fuzhou 350002, Peoples R China

Reprint 's Address:

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Source :

PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT

Year: 2011

Page: 1120-1129

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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