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

共 50 条

[1] Bankruptcy prediction in the sector of construction in Lithuania
Marcinkevicius, Rosvydas
Kanapickiene, Rasa
[J]. 19TH INTERNATIONAL SCIENTIFIC CONFERENCE ECONOMICS AND MANAGEMENT 2014 (ICEM-2014), 2014, 156 : 553 - 557
[2] BANKRUPTCY PREDICTION MODELS: CASE OF THE CONSTRUCTION AND TRANSPORT & STORAGE SECTOR IN LITHUANIA
Kanapickiene, Rasa
Spicas, Renatas
[J]. NEW CHALLENGES OF ECONOMIC AND BUSINESS DEVELOPMENT - 2016, 2016, : 344 - 356
[3] Impact of macroeconomic indicators on bankruptcy prediction models: Case of the Portuguese construction sector
Sousa, Ana
Braga, Ana
Cunha, Jorge
[J]. QUANTITATIVE FINANCE AND ECONOMICS, 2022, 6 (03): : 405 - 432
[4] BANKRUPTCY PREDICTION MODELS IN THE SERBIAN AGRICULTURAL SECTOR
Rajin, Danica
Milenkovic, Danijela
Radojevic, Tijana
[J]. EKONOMIKA POLJOPRIVREDA-ECONOMICS OF AGRICULTURE, 2016, 63 (01): : 89 - 105
[5] AdaBoost Models for Corporate Bankruptcy Prediction with Missing Data
Ligang Zhou
Kin Keung Lai
[J]. Computational Economics, 2017, 50 : 69 - 94
[6] AdaBoost Models for Corporate Bankruptcy Prediction with Missing Data
Zhou, Ligang
Lai, Kin Keung
[J]. COMPUTATIONAL ECONOMICS, 2017, 50 (01) : 69 - 94
[7] Comparative study of prediction models for corporate bond rating
Park, Hyeongkwon
Kang, Junyoung
Heo, Sungwook
Yu, Donghyeon
[J]. KOREAN JOURNAL OF APPLIED STATISTICS, 2018, 31 (03) : 367 - 382
[8] THE USE OF DISCRIMINANT MODELS IN PREDICTING BANKRUPTCY OF ENTERPRISES IN THE CONSTRUCTION SECTOR
Slusarczyk, Radoslaw
[J]. BUSINESS AND NON-PROFIT ORGANIZATIONS FACING INCREASED COMPETITION AND GROWING CUSTOMERS' DEMANDS, VOL 12, 2013, 12 : 253 - 265
[9] Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
Garcia, Vicente
Marques, Ana I.
Salvador Sanchez, J.
Ochoa-Dominguez, Humberto J.
[J]. COMPUTATIONAL ECONOMICS, 2019, 53 (03) : 1019 - 1031
[10] Corporate bankruptcy during economic crisis: a financial analysis of the Greek construction sector
Repousis, Spyros
Lois, Petros
Vrontis, Demetris
Thrassou, Alkis
Meggios, Savvas
[J]. JOURNAL FOR INTERNATIONAL BUSINESS AND ENTREPRENEURSHIP DEVELOPMENT, 2021, 13 (02) : 152 - 176

← 1 2 3 4 5 →