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作者:

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

收录:

CPCI-SSH

摘要:

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.

关键词:

risk management KMV model credit risk green credit

作者机构:

  • [ 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

通讯作者信息:

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

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来源 :

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

年份: 2015

页码: 460-465

语种: 英文

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