دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Corporate Bankruptcy Prediction Models: A Comparative Study for the Construction Sector in Greece
المؤلفون: Kanellos Toudas, Stefanos Archontakis, Paraskevi Boufounou
المصدر: Computation, Vol 12, Iss 1, p 9 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: corporate bankruptcy, construction sector, accounting indicators, Altman Z-score, Logit, Probit, Electronic computers. Computer science, QA75.5-76.95
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2079-3197
Relation: https://www.mdpi.com/2079-3197/12/1/9; https://doaj.org/toc/2079-3197
DOI: 10.3390/computation12010009
URL الوصول: https://doaj.org/article/a86dae4b6fdb4fc8bd034a251a3e6847
رقم الأكسشن: edsdoj.86dae4b6fdb4fc8bd034a251a3e6847
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20793197
DOI:10.3390/computation12010009