Credit rating model development: An ordered analysis based on accounting data

被引:10
作者
Balios, Dimitris [1 ]
Thomadakis, Stavros [1 ]
Tsipouri, Lena [1 ]
机构
[1] Univ Athens, Dept Econ, 1 Sofokleous Str, Athens 10559, Greece
关键词
SUPPORT VECTOR MACHINES; FINANCIAL RATIOS; NEURAL-NETWORKS; MARKET; DEBT; RISK; PREDICTION; QUALITY; BANKRUPTCY; FAILURES;
D O I
10.1016/j.ribaf.2016.03.011
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper we propose and test a methodology for constructing a credit rating model. We follow a polytomous ordered probit analysis leading to the specification of statistically significant credit rating intervals. We test our model with accounting data of Greek listed firms over the years 2004-2013, a period which includes both the pre-crisis growth and the crisis phase of the Greek economy and the stock market. Using the empirically-based rating categories that the model generates endogenously, we observe not only a clear and timely response of ratings to the changing economic environment, but we also obtain significant predictive ability over a period of one, two and three years. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:122 / 136
页数:15
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