Modeling Volatility in U.S. Airline Load Factors Using GARCH

This presentation explores airline load factor volatility with a focus on analytical metrics. It introduces GARCH modeling to represent volatility effectively and applies these models to U.S. airline industry data. Key insights are derived, demonstrating the utility of metrics for predictive analytics and real-world applications. The conclusion highlights industry implications and suggests future research directions.