ANALYZING INDUSTRY-LEVEL VULNERABILITY BY PREDICTING FINANCIAL BANKRUPTCY

被引:12
|
作者
Tanaka, Katsuyuki [1 ]
Higashide, Takuo [2 ]
Kinkyo, Takuji [1 ]
Hamori, Shigeyuki [1 ]
机构
[1] Kobe Univ, Grad Sch Econ, Kobe, Hyogo 6578501, Japan
[2] Chuo Univ, Nissay Asset Management, Grad Sch Sci & Engn, Tokyo 1008219, Japan
基金
日本学术振兴会;
关键词
CREDIT DEFAULT SWAP; DISCRIMINANT-ANALYSIS; RATIOS; SYSTEM; IMPACT;
D O I
10.1111/ecin.12817
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study introduces a novel framework for building company bankruptcy models and a methodology for assessing the vulnerability of industrial economic activities. We consider the identification of bankruptcy as a classification problem and assume that bankruptcy criteria differ across industries. We build highly accurate industry bankruptcy models by constructing separate models for each industry. We also propose a method of analyzing the vulnerability of industrial economic activities in various countries and industries using new indicators we call "expected potential loss," which we obtain using the predicted likelihood of bankruptcy and company information. (JEL G0, C0)
引用
收藏
页码:2017 / 2034
页数:18
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