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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Format: | Thesis |
Language: | eng eng |
Published: |
2021
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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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Summary: | 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. |
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