Bankruptcy Prediction: The Case of the Greek Market

Financial bankruptcy prediction is an essential issue in emerging economies taking into consideration the economic upheaval that can be caused by business failures. The research on bankruptcy prediction is of the utmost importance as it aims to build statistical models that can distinguish healthy f...

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Main Authors:	Angeliki Papana, Anastasia Spyridou
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Series:	Forecasting
Subjects:	bankruptcy prediction discriminant analysis logit decision trees neural networks
Online Access:	https://www.mdpi.com/2571-9394/2/4/27

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spelling	doaj-22249bcefa4b48b5ae3b59926218f3592020-12-04T00:03:46ZengMDPI AGForecasting2571-93942020-12-0122750552510.3390/forecast2040027Bankruptcy Prediction: The Case of the Greek MarketAngeliki Papana0Anastasia Spyridou1Department of Economics, University of Macedonia, 54636 Thessaloniki, GreeceFaculty of Management and Economics, Technological University of Gdansk, 80-233 Gdansk, PolandFinancial bankruptcy prediction is an essential issue in emerging economies taking into consideration the economic upheaval that can be caused by business failures. The research on bankruptcy prediction is of the utmost importance as it aims to build statistical models that can distinguish healthy firms from financially distressed ones. This paper explores the applicability of the four most used approaches to predict financial bankruptcy using data concerning the case of Greece. A comparison of linear discriminant analysis, logit, decision trees and neural networks is performed. The results show that discriminant analysis is slightly superior to the other methods.https://www.mdpi.com/2571-9394/2/4/27bankruptcypredictiondiscriminant analysislogitdecision treesneural networks
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Angeliki Papana Anastasia Spyridou
spellingShingle	Angeliki Papana Anastasia Spyridou Bankruptcy Prediction: The Case of the Greek Market Forecasting bankruptcy prediction discriminant analysis logit decision trees neural networks
author_facet	Angeliki Papana Anastasia Spyridou
author_sort	Angeliki Papana
title	Bankruptcy Prediction: The Case of the Greek Market
title_short	Bankruptcy Prediction: The Case of the Greek Market
title_full	Bankruptcy Prediction: The Case of the Greek Market
title_fullStr	Bankruptcy Prediction: The Case of the Greek Market
title_full_unstemmed	Bankruptcy Prediction: The Case of the Greek Market
title_sort	bankruptcy prediction: the case of the greek market
publisher	MDPI AG
series	Forecasting
issn	2571-9394
publishDate	2020-12-01
description	Financial bankruptcy prediction is an essential issue in emerging economies taking into consideration the economic upheaval that can be caused by business failures. The research on bankruptcy prediction is of the utmost importance as it aims to build statistical models that can distinguish healthy firms from financially distressed ones. This paper explores the applicability of the four most used approaches to predict financial bankruptcy using data concerning the case of Greece. A comparison of linear discriminant analysis, logit, decision trees and neural networks is performed. The results show that discriminant analysis is slightly superior to the other methods.
topic	bankruptcy prediction discriminant analysis logit decision trees neural networks
url	https://www.mdpi.com/2571-9394/2/4/27
work_keys_str_mv	AT angelikipapana bankruptcypredictionthecaseofthegreekmarket AT anastasiaspyridou bankruptcypredictionthecaseofthegreekmarket
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Bankruptcy Prediction: The Case of the Greek Market

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