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Indigo Predicting Financial Distress in the All-Cargo Airline Industry | Erin Mills Town Centre
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All-cargo airlines carry over 50% of global airfreight, yet they are prone to bankruptcy. Many financial models are designed to predict a firms' financial health, but they do not assess many nonstatistical factors that influence the prediction capability of these models. In this study, qualitative grounded theory design was used to identify nonstatistical factors and explore how they influence bankruptcy prediction models in the all-cargo airline industry. Three themes emerged that may improve current quantitative bankruptcy prediction models. The three themes are airline fleet type, type of aircraft flown, and aircraft utilization. The three themes relate to the type, use, and make up of an airline's fleet. These themes influence bankruptcy prediction model and should be incorporated into failure prediction models to improve their overall accuracy. This analysis should be useful to professionals in the aviation and air-cargo industry.
All-cargo airlines carry over 50% of global airfreight, yet they are prone to bankruptcy. Many financial models are designed to predict a firms' financial health, but they do not assess many nonstatistical factors that influence the prediction capability of these models. In this study, qualitative grounded theory design was used to identify nonstatistical factors and explore how they influence bankruptcy prediction models in the all-cargo airline industry. Three themes emerged that may improve current quantitative bankruptcy prediction models. The three themes are airline fleet type, type of aircraft flown, and aircraft utilization. The three themes relate to the type, use, and make up of an airline's fleet. These themes influence bankruptcy prediction model and should be incorporated into failure prediction models to improve their overall accuracy. This analysis should be useful to professionals in the aviation and air-cargo industry.
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