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:	HG Finance HJ Public Finance
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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id	my-uum-etd.10380
record_format	uketd_dc
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
_version_	1776103804341583872

Financial distress prediction of Airlines in ASIA

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