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Author:

Ge Lin (Ge Lin.) | Huang Haifeng (Huang Haifeng.) (Scholars:黄海峰) | Wang Meichang (Wang Meichang.)

Indexed by:

CPCI-SSH

Abstract:

Chinese government wishes implementing the green credit policy to fund the environmental protection industry. Traditional KMV model used to compute default point by giving the empirical weight, but this paper uses minimum miscalculation to modify it. The purpose of this paper is to examine empirically credit risk of green industry represented by wind power and photovoltaic's industries by searching listed companies' empirical data of the two industries from 2011-2013. And compare the results with those of traditional industries to discuss the characters of green industry. In contrast with expectation, it finds that the credit risks of the two industries are not higher than that of traditional industries. However the gap of credit risks among companies inside the two industries is large and some companies are still faced with high risks. Meanwhile, as being supported deeply by the green credit policy, their market performance is much affected by policies. There are many unstable factors influencing their profitability.

Keyword:

risk management KMV model credit risk green credit

Author Community:

  • [ 1 ] [Ge Lin]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Huang Haifeng]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Wang Meichang]Southeast Univ, Coll Econ & Management, Nanjing 211189, Jiangsu, Peoples R China

Reprint Author's Address:

  • [Ge Lin]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

Email:

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Source :

PROCEEDINGS OF THE 7TH (2015) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT

Year: 2015

Page: 460-465

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: 3

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