Financial distress identification among energy sector companies listed in bursa Malaysia
The main objective of this study is to identify financial distress of Energy Companies listed in Bursa Malaysia. The study indicates a strong significance of the variable in determining financial distress using three different models which is Altman Z-Score Model, Grover Model and Zmijewski Model. T...
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my-uum-etd.103942023-03-09T01:24:51Z Financial distress identification among energy sector companies listed in bursa Malaysia 2021 Wahyu Setia, Budi Tapa, Afiruddin School of Economics, Finance & Banking School of Economics, Finance & Banking HG Finance HJ Public Finance The main objective of this study is to identify financial distress of Energy Companies listed in Bursa Malaysia. The study indicates a strong significance of the variable in determining financial distress using three different models which is Altman Z-Score Model, Grover Model and Zmijewski Model. The study adopts quantitative research method of secondary source was used to collect data from annual financial report of all the energy companies listed in Bursa Malaysia. The period of study is prior Covid 19 crisis which is from 2016 to 2020. The descriptive and comparative analysis method has been used for the study and this model is developed to compare the independent variables. The descriptive analysis in this study shows that Altman Z-Score model is the most significant model to predict financial failure of the firms. While the comparative analysis shows there is no significant difference between Altman and Grover, Altman and Zmijewski as well as Grover and Zmijewski. 2021 Thesis https://etd.uum.edu.my/10394/ https://etd.uum.edu.my/10394/1/grant%20the%20permission_s825088.pdf text eng staffonly https://etd.uum.edu.my/10394/2/s825088_01.pdf text eng public other masters Universiti Utara Malaysia |
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Universiti Utara Malaysia |
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UUM ETD |
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eng eng |
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Tapa, Afiruddin |
topic |
HG Finance HJ Public Finance |
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HG Finance HJ Public Finance Wahyu Setia, Budi Financial distress identification among energy sector companies listed in bursa Malaysia |
description |
The main objective of this study is to identify financial distress of Energy Companies listed in Bursa Malaysia. The study indicates a strong significance of the variable in determining financial distress using three different models which is Altman Z-Score Model, Grover Model and Zmijewski Model. The study adopts quantitative research method of secondary source was used to collect data from annual financial report of all the energy companies listed in Bursa Malaysia. The period of study is prior Covid 19 crisis which is from 2016 to 2020. The descriptive and comparative analysis method has been used for the study and this model is developed to compare the independent variables. The descriptive analysis in this study shows that Altman Z-Score model is the most significant model to predict financial failure of the firms. While the comparative analysis shows there is no significant difference between Altman and Grover, Altman and Zmijewski as well as Grover and Zmijewski. |
format |
Thesis |
qualification_name |
other |
qualification_level |
Master's degree |
author |
Wahyu Setia, Budi |
author_facet |
Wahyu Setia, Budi |
author_sort |
Wahyu Setia, Budi |
title |
Financial distress identification among energy sector companies listed in bursa Malaysia |
title_short |
Financial distress identification among energy sector companies listed in bursa Malaysia |
title_full |
Financial distress identification among energy sector companies listed in bursa Malaysia |
title_fullStr |
Financial distress identification among energy sector companies listed in bursa Malaysia |
title_full_unstemmed |
Financial distress identification among energy sector companies listed in bursa Malaysia |
title_sort |
financial distress identification among energy sector companies listed in bursa malaysia |
granting_institution |
Universiti Utara Malaysia |
granting_department |
School of Economics, Finance & Banking |
publishDate |
2021 |
url |
https://etd.uum.edu.my/10394/1/grant%20the%20permission_s825088.pdf https://etd.uum.edu.my/10394/2/s825088_01.pdf |
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1776103807208390656 |