A multi-industry default prediction model using logistic regression and decision tree

The accurate prediction of corporate bankruptcy for the firms in different industries is of a great concern to investors and creditors, as the reduction of creditors' risk and a considerable amount of saving for an industry economy can be possible. Financial statements vary between industries....

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Main Authors:	Ramakrishnan, Suresh, Mirzaei, Maryam, Bekri, Mahmoud
Format:	Article
Published:	Maxwell Science Publications 2015
Subjects:	HD Industries. Land use. Labor HD28 Management. Industrial Management
Online Access:	http://eprints.utm.my/id/eprint/55704/ http://www.maxwellsci.com/jp/abstract.php?jid=RJASET&no=535&abs=10
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Institution:	Universiti Teknologi Malaysia

id	my.utm.55704
record_format	eprints
spelling	my.utm.557042017-08-22T00:40:31Z http://eprints.utm.my/id/eprint/55704/ A multi-industry default prediction model using logistic regression and decision tree Ramakrishnan, Suresh Mirzaei, Maryam Bekri, Mahmoud HD Industries. Land use. Labor HD28 Management. Industrial Management The accurate prediction of corporate bankruptcy for the firms in different industries is of a great concern to investors and creditors, as the reduction of creditors' risk and a considerable amount of saving for an industry economy can be possible. Financial statements vary between industries. Therefore, economic intuition suggests that industry effects should be an important component in bankruptcy prediction. This study attempts to detail the characteristics of each industry using sector indicators. The results show significant relationship between probability of default and sector indicators. The results of this study may improve the default prediction models performance and reduce the costs of risk management. Maxwell Science Publications 2015 Article PeerReviewed Ramakrishnan, Suresh and Mirzaei, Maryam and Bekri, Mahmoud (2015) A multi-industry default prediction model using logistic regression and decision tree. Research Journal of Applied Sciences, Engineering and Technology, 9 (10). pp. 856-861. ISSN 2040-7459 http://www.maxwellsci.com/jp/abstract.php?jid=RJASET&no=535&abs=10
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	HD Industries. Land use. Labor HD28 Management. Industrial Management
spellingShingle	HD Industries. Land use. Labor HD28 Management. Industrial Management Ramakrishnan, Suresh Mirzaei, Maryam Bekri, Mahmoud A multi-industry default prediction model using logistic regression and decision tree
description	The accurate prediction of corporate bankruptcy for the firms in different industries is of a great concern to investors and creditors, as the reduction of creditors' risk and a considerable amount of saving for an industry economy can be possible. Financial statements vary between industries. Therefore, economic intuition suggests that industry effects should be an important component in bankruptcy prediction. This study attempts to detail the characteristics of each industry using sector indicators. The results show significant relationship between probability of default and sector indicators. The results of this study may improve the default prediction models performance and reduce the costs of risk management.
format	Article
author	Ramakrishnan, Suresh Mirzaei, Maryam Bekri, Mahmoud
author_facet	Ramakrishnan, Suresh Mirzaei, Maryam Bekri, Mahmoud
author_sort	Ramakrishnan, Suresh
title	A multi-industry default prediction model using logistic regression and decision tree
title_short	A multi-industry default prediction model using logistic regression and decision tree
title_full	A multi-industry default prediction model using logistic regression and decision tree
title_fullStr	A multi-industry default prediction model using logistic regression and decision tree
title_full_unstemmed	A multi-industry default prediction model using logistic regression and decision tree
title_sort	multi-industry default prediction model using logistic regression and decision tree
publisher	Maxwell Science Publications
publishDate	2015
url	http://eprints.utm.my/id/eprint/55704/ http://www.maxwellsci.com/jp/abstract.php?jid=RJASET&no=535&abs=10
_version_	1643653876569604096

A multi-industry default prediction model using logistic regression and decision tree

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