Corporate Bankruptcy Prediction Models: A Comparative Study for the Construction Sector in Greece

被引：1

作者：

Toudas, Kanellos ^{[1
]}

Archontakis, Stefanos ^{[2
]}

Boufounou, Paraskevi ^{[2
]}

机构：

[1] Agr Univ Athens, Dept Agribusiness & Supply Chain Management, Athens 11855, Greece

[2] Natl & Kapodistrian Univ Athens, Dept Econ, Athens 10562, Greece

来源：

COMPUTATION | 2024年 / 12卷 / 01期

关键词：

corporate bankruptcy; construction sector; accounting indicators; Altman Z-score; Logit; Probit; SUPPORT VECTOR MACHINES; Z-SCORE MODEL; FINANCIAL DISTRESS; DISCRIMINANT ANALYSIS; LEARNING-MODELS; RATIOS; SELECTION; FIRMS; CLASSIFIERS;

D O I：

10.3390/computation12010009

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This study focuses on testing the efficiency of alternative bankruptcy prediction models (Altman, Ohlson, Zmijewski) and on assessing the possible reasons that led to the confirmation or not of the prevailing model. Data from financial statements of listed (Greek) construction companies before the economic crisis were utilized. The results showed that Altman's main predictive model as well as the revised models have low overall predictability for all three years before bankruptcy.

引用

页数：20

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