Financial distress prediction of Airlines in ASIA

The objective of this study is to identify financial distress of airlines in Asia using three different method namely Altman Z-Score model, Springate model and Zmijewski Model. The study was conducted using quantitative research method based on secondary data and obtained from Bloomberg Terminal dur...

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Main Author: Nurfarah Lyana, Ahmad Razif
Format: Thesis
Language:eng
eng
Published: 2021
Subjects:
Online Access:https://etd.uum.edu.my/10380/1/grant%20the%20permission_s825105.pdf
https://etd.uum.edu.my/10380/2/s825105_01.pdf
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spelling my-uum-etd.103802023-03-05T03:04:58Z Financial distress prediction of Airlines in ASIA 2021 Nurfarah Lyana, Ahmad Razif Tapa, Afiruddin School of Economics, Finance & Banking School of Economics, Finance & Banking HG Finance HJ Public Finance The objective of this study is to identify financial distress of airlines in Asia using three different method namely Altman Z-Score model, Springate model and Zmijewski Model. The study was conducted using quantitative research method based on secondary data and obtained from Bloomberg Terminal during 2016 until 2020 on a quarterly basis. Descriptive and comparative analysis method has been used for the study and these models is developed to compare the independent variables. Descriptive analysis in this study indicated that Altman Z-Score model is the most significant model to predict financial distress of the companies. The comparative analysis shows there is significant difference between Altman Z-Score model and Zmijewski model also between Springate model and Zmijewski model. However, Altman Z-Score model and Springate model indicates that there is no significance model. 2021 Thesis https://etd.uum.edu.my/10380/ https://etd.uum.edu.my/10380/1/grant%20the%20permission_s825105.pdf text eng staffonly https://etd.uum.edu.my/10380/2/s825105_01.pdf text eng public other masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Tapa, Afiruddin
topic HG Finance
HJ Public Finance
spellingShingle HG Finance
HJ Public Finance
Nurfarah Lyana, Ahmad Razif
Financial distress prediction of Airlines in ASIA
description The objective of this study is to identify financial distress of airlines in Asia using three different method namely Altman Z-Score model, Springate model and Zmijewski Model. The study was conducted using quantitative research method based on secondary data and obtained from Bloomberg Terminal during 2016 until 2020 on a quarterly basis. Descriptive and comparative analysis method has been used for the study and these models is developed to compare the independent variables. Descriptive analysis in this study indicated that Altman Z-Score model is the most significant model to predict financial distress of the companies. The comparative analysis shows there is significant difference between Altman Z-Score model and Zmijewski model also between Springate model and Zmijewski model. However, Altman Z-Score model and Springate model indicates that there is no significance model.
format Thesis
qualification_name other
qualification_level Master's degree
author Nurfarah Lyana, Ahmad Razif
author_facet Nurfarah Lyana, Ahmad Razif
author_sort Nurfarah Lyana, Ahmad Razif
title Financial distress prediction of Airlines in ASIA
title_short Financial distress prediction of Airlines in ASIA
title_full Financial distress prediction of Airlines in ASIA
title_fullStr Financial distress prediction of Airlines in ASIA
title_full_unstemmed Financial distress prediction of Airlines in ASIA
title_sort financial distress prediction of airlines in asia
granting_institution Universiti Utara Malaysia
granting_department School of Economics, Finance & Banking
publishDate 2021
url https://etd.uum.edu.my/10380/1/grant%20the%20permission_s825105.pdf
https://etd.uum.edu.my/10380/2/s825105_01.pdf
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