Universiti Teknologi Malaysia Institutional Repository

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

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

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Official URL: http://www.maxwellsci.com/jp/abstract.php?jid=RJAS...

Abstract

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.

Item Type:Article
Uncontrolled Keywords:decision tree, default prediction
Subjects:H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:Management
ID Code:55704
Deposited By: Practical Student
Deposited On:27 Sep 2016 12:46
Last Modified:22 Aug 2017 08:40

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