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Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]

The classification of firms into two dichotomous groups, which are bankrupt and non-bankrupt firms, provided results which showed equality between the two groups, where on the other hand, nonbankrupt firms can be further differentiated between financially distressed firms and healthy firms, of which...

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Main Authors: Nayan, Asmahani, Abd Rahim, Amirah Hazwani, Ishak, Siti Shuhada, Ilias, Mohd Rijal, Ahmad, Abd Razak
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
HG Finance
Financial engineering
Online Access:https://ir.uitm.edu.my/id/eprint/56211/1/56211.pdf
https://ir.uitm.edu.my/id/eprint/56211/
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id my.uitm.ir.56211
record_format eprints
spelling my.uitm.ir.562112023-03-12T23:45:01Z https://ir.uitm.edu.my/id/eprint/56211/ Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.] Nayan, Asmahani Abd Rahim, Amirah Hazwani Ishak, Siti Shuhada Ilias, Mohd Rijal Ahmad, Abd Razak HG Finance Financial engineering The classification of firms into two dichotomous groups, which are bankrupt and non-bankrupt firms, provided results which showed equality between the two groups, where on the other hand, nonbankrupt firms can be further differentiated between financially distressed firms and healthy firms, of which either can be making a comeback in terms of profits or go bankrupt. The variable that differentiates between bankrupt and non-bankrupt as well as between financially distressed and healthy firms are different. As such, this study’s objective is to construct a logit bankruptcy model for all variable forms of firms that were involved in the sales and maintenance of motor vehicles. The sample for the study consists of UK based public firms that had submitted a full account to the Companies House. The data was then analysed through logit regression to predict the bankruptcy, using three different models. Based on the three models analysed, it was found that all three models recorded a significant value of below 0.05, which showed that the three models were able to predict bankruptcy. From the three models selected for analysis, the third model was found to be better compared to the other two models and was selected to be the base for the logit bankruptcy model for all types of firms in this study. 2021 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/56211/1/56211.pdf Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]. (2021) In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021. (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic HG Finance
Financial engineering
spellingShingle HG Finance
Financial engineering
Nayan, Asmahani
Abd Rahim, Amirah Hazwani
Ishak, Siti Shuhada
Ilias, Mohd Rijal
Ahmad, Abd Razak
Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
description The classification of firms into two dichotomous groups, which are bankrupt and non-bankrupt firms, provided results which showed equality between the two groups, where on the other hand, nonbankrupt firms can be further differentiated between financially distressed firms and healthy firms, of which either can be making a comeback in terms of profits or go bankrupt. The variable that differentiates between bankrupt and non-bankrupt as well as between financially distressed and healthy firms are different. As such, this study’s objective is to construct a logit bankruptcy model for all variable forms of firms that were involved in the sales and maintenance of motor vehicles. The sample for the study consists of UK based public firms that had submitted a full account to the Companies House. The data was then analysed through logit regression to predict the bankruptcy, using three different models. Based on the three models analysed, it was found that all three models recorded a significant value of below 0.05, which showed that the three models were able to predict bankruptcy. From the three models selected for analysis, the third model was found to be better compared to the other two models and was selected to be the base for the logit bankruptcy model for all types of firms in this study.
format Conference or Workshop Item
author Nayan, Asmahani
Abd Rahim, Amirah Hazwani
Ishak, Siti Shuhada
Ilias, Mohd Rijal
Ahmad, Abd Razak
author_facet Nayan, Asmahani
Abd Rahim, Amirah Hazwani
Ishak, Siti Shuhada
Ilias, Mohd Rijal
Ahmad, Abd Razak
author_sort Nayan, Asmahani
title Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
title_short Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
title_full Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
title_fullStr Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
title_full_unstemmed Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]
title_sort bankruptcy model of uk public sales and maintenance motor vehicles firms / asmahani nayan ... [et al.]
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/56211/1/56211.pdf
https://ir.uitm.edu.my/id/eprint/56211/
_version_ 1761622269482762240
score 13.211869

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