An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies

被引:32
|
作者
Ko, Yu-Chien [1 ]
Fujita, Hamido [2 ]
Li, Tianrui [3 ]
机构
[1] Chung Hua Univ, Dept Informat Management, Hsinchu 30012, Taiwan
[2] Iwate Prefectural Univ, Software & Informat Sci, Takizawa 0200693, Japan
[3] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Peoples R China
关键词
Altman Z-score (AZS); Rough set (RS); Induction; Granular evidence (GE); Evidential coefficients of financial ratios; (ECFR) Inferential evidence (IE); ROUGH SET APPROACH; DISCRIMINANT-ANALYSIS; APPROXIMATION; FAILURE; RATIO;
D O I
10.1016/j.asoc.2016.09.050
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Altman Z-score has been a well-accepted model of predicting survivals and failures of manufactures since 1968. However, short of an underpinning theory causes a wide gap between asking and responding sides, which still has no effective solution. This research proposes a rough set approach to inducing granular evidence and solving evidential coefficients of financial ratios for the distressed companies. Empirically, the proposed approach is applied to a financial database, Taiwan Economic Journal, to analyze the solar energy industry during 2009-2014. The result shows the inferential evidence successfully serves as a basis for financial analysis and discloses that the profit efficiency of the distressed companies in Taiwan's solar energy industry had been declining. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:748 / 759
页数:12
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