A review of financial distress prediction models: logistic regression and multivariate discriminant analysis

In corporate finance, the early prediction of financial distress is considered more important as another occurrence of business risks. The study presents a review of literature for early prediction of financial bankruptcy. It contributes to the formation of a systematic review of the literature rega...

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Main Authors: Hassan, Ehsan ul, Zainuddin, Zaemah, Nordin, Sabariah
Format: Article
Language:English
Published: OMJP Alpha Publishing 2017
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/26141/1/IPJAS%201%203%202017%2013%2023.pdf
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author Hassan, Ehsan ul
Zainuddin, Zaemah
Nordin, Sabariah
author_facet Hassan, Ehsan ul
Zainuddin, Zaemah
Nordin, Sabariah
author_sort Hassan, Ehsan ul
collection UUM
description In corporate finance, the early prediction of financial distress is considered more important as another occurrence of business risks. The study presents a review of literature for early prediction of financial bankruptcy. It contributes to the formation of a systematic review of the literature regarding previous studies done in the field of bankruptcy. It addresses two most commonly used financial distress prediction models, i.e. multivariate discriminant analysis and logit. Models are discussed with their advantages and disadvantages. After methodological review, it seems that logit regression model (LRM) is more advantageous than multivariate discriminant analysis (MDA) for better prediction of financial bankruptcy. However, accurate prediction of bankruptcy is beneficial to improve the regulation of companies, to form policies for companies and to take any precautionary measures if any crisis is about to come in future.
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spelling uum-261412019-06-24T05:15:08Z https://repo.uum.edu.my/id/eprint/26141/ A review of financial distress prediction models: logistic regression and multivariate discriminant analysis Hassan, Ehsan ul Zainuddin, Zaemah Nordin, Sabariah HF5601 Accounting In corporate finance, the early prediction of financial distress is considered more important as another occurrence of business risks. The study presents a review of literature for early prediction of financial bankruptcy. It contributes to the formation of a systematic review of the literature regarding previous studies done in the field of bankruptcy. It addresses two most commonly used financial distress prediction models, i.e. multivariate discriminant analysis and logit. Models are discussed with their advantages and disadvantages. After methodological review, it seems that logit regression model (LRM) is more advantageous than multivariate discriminant analysis (MDA) for better prediction of financial bankruptcy. However, accurate prediction of bankruptcy is beneficial to improve the regulation of companies, to form policies for companies and to take any precautionary measures if any crisis is about to come in future. OMJP Alpha Publishing 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/26141/1/IPJAS%201%203%202017%2013%2023.pdf Hassan, Ehsan ul and Zainuddin, Zaemah and Nordin, Sabariah (2017) A review of financial distress prediction models: logistic regression and multivariate discriminant analysis. Indian-Pacific Journal of Accounting and Finance (IPJAF), 1 (3). pp. 13-23. ISSN 2600-9161 http://ipjaf.omjpalpha.com/index.php/ipjaf/article/view/15
spellingShingle HF5601 Accounting
Hassan, Ehsan ul
Zainuddin, Zaemah
Nordin, Sabariah
A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title_full A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title_fullStr A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title_full_unstemmed A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title_short A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
title_sort review of financial distress prediction models logistic regression and multivariate discriminant analysis
topic HF5601 Accounting
url https://repo.uum.edu.my/id/eprint/26141/1/IPJAS%201%203%202017%2013%2023.pdf
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