BANKRUPTCY PREDICTION ANALYSIS OF FIVE AIRLINES COMPANIES IN ASIA USING THE ALTMAN Z-SCORE
Airline industry is one of the promising industry for investors, it considered a big deal as it predicted to grow rapidly during for the next 20 years. Asia Pacific forecasted as the main player for airline in 2034, which will surpass Europe and North America. SKYTRAX Global Airlines Awards 2018...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/38998 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Airline industry is one of the promising industry for investors, it considered
a big deal as it predicted to grow rapidly during for the next 20 years. Asia Pacific
forecasted as the main player for airline in 2034, which will surpass Europe and
North America. SKYTRAX Global Airlines Awards 2018 are announced Singapore
Airlines as the best airlines in the world, followed by other airlines in Asia as the top
10. Nevertheless airline industry also known for its volatility business, due to the big
amount of operating cost, such as unstable fuel price and the high cost of labor. Both
are the main reasons for several airlines companies that stated default these past
years.
The purpose of this research is to predict the bankruptcy possibilities of five
listed airlines company in Asia, which included as the best airlines in the world. This
research will also analyze the ability of Altman Z”-Score and Altman Z-Score to
predict the bankruptcy event in non-manufacturer companies by using Coefficient
Correlation method. This research will be conducted by using the Original Altman
Z-Score for manufacturing company and the Revised Altman Z” Score for nonmanufacturers
company which will predict the bankruptcy event for the next two or
three years. The sample of this research are Garuda Indonesia, Singapore Airlines,
THAI Airways, All Nippon Airways, and EVA Air during the period of 2014-2018.
Both formulas of Altman indicates similar result of bankruptcy event with the same
predicted condition in Grey Zone are for the next 2 – 3 years. The original and the
revised formula shows a good ability to predict the bankruptcy event in airlines
company in Asia by having highly correlated variables for each formula. |
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