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

Nayan, Asmahani and Abd Rahim, Amirah Hazwani and Ishak, Siti Shuhada and Ilias, Mohd Rijal and Ahmad, Abd Razak (2021) Bankruptcy model of UK public sales and maintenance motor vehicles firms / Asmahani Nayan ... [et al.]. In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021. (Submitted)

Abstract

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.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Nayan, Asmahani
asmahanin@uitm.edu.my
Abd Rahim, Amirah Hazwani
amirah017@uitm.edu.my
Ishak, Siti Shuhada
shuhada58@gmail.com
Ilias, Mohd Rijal
mrijal@uitm.edu.my
Ahmad, Abd Razak
ara@uitm.edu.my
Subjects: H Social Sciences > HG Finance
H Social Sciences > HG Finance > Financial engineering
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Event Title: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021)
Event Dates: 4-5 August 2021
Page Range: pp. 264-270
Keywords: Logit regression, bankruptcy, distressed firms, public firms
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/56211
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