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6th AIAA Aviation Technology, Integration and Operations Conference (ATIO) 25 - 27 September 2006, Wichita, Kansas

AIAA 2006-7732

An Analysis of Profit Cycles in the Airline Industry
Helen Jiang1 and R. John Hansman2 Massachusetts Institute of Technology, Cambridge, MA, 02139

[Abstract] This paper discusses the financial dynamics of the airline industry by identifying the fundamental cycle periods of profitability and their driving factors. Assuming the industry profit cycles could be modeled as an undamped second-order system, the fundamental cycle period was found to be 11.3 years for the U.S. airline industry and 10.5 years for the world airline industry. An empirical profitability model was estimated and the results revealed that such cycle period is endogenous, neither deregulation nor September 11 have significantly changed the cycle length. To analyze the causes of profit cyclicality, parametric models were developed under the hypothesis that phase lag in the system caused the profit oscillations; and two hypotheses, lag in capacity response and lag in cost adjustment were studied. Analysis of the parametric model of capacity response indicated that the system stability depends on the delay between aircraft orders and deliveries and on the aggressiveness in airplane ordering. Exaggerated capacity response was observed in the simulation as the gain in the model has lumped impacts of exogenous factors, suggesting capacity shortfall alone cannot fully explain the industry dynamics. The model also indicates reducing delay may help to mitigate system oscillations. Simulation results of the parametric model regarding cost adjustment were consistent with profit observations. Finally, a coupled model was developed to study the joint effects of capacity and cost. Simulation results indicated that the coupled model explained industry dynamics better than individual capacity or cost models, suggesting that the system behavior is driven by the joint effects of



References: Air Transport Association, “The Airline Handbook – Online Version,” Chapter 2, URL: http://www.airlines.org/about/d.aspx?nid=7947 [cited 20 November 2003]. 2 Air Transport Association, “Annual Traffic and Capacity of U.S. Airlines Scheduled Services,” URL: http://www.airlines.org/econ/d.aspx?nid=1032 [cited 20 December 2004]. 1 16 American Institute of Aeronautics and Astronautics 3 Tam, R., and Hansman, R. J., “Air Transportation and Socioeconomic Connectivity in the United States since Deregulation,” 2nd Aviation Management Education and Research Conference, Montreal, Canada, 2003. 4 Air Transport Association, “Annual Revenue and Earnings of U.S. Airlines All Services,” URL: http://www.airlines.org/econ/d.aspx?nid=1034 [cited 20 December 2004]. 5 ICAO, “Civil Aviation Statistics of the World: ICAO statistical Yearbook,” 1966-2002. 6 Liehr, M., Größler, A., Klein, M., and Milling, P. M., “Cycles in the sky: Understanding and Managing Business Cycles in the Airline Market,” System Dynamics Review, Vol. 17, December, pp. 311-332. 7 Lyneis, J. M., “System Dynamics in Business Forecasting: A Case Study of the Commercial Jet Aircraft Industry,” Proceedings of the Sixteenth International Conference of the System Dynamics Society: Québec '98 (CD-ROM), System Dynamics Society, Québec City, Canada, 1998. 8 Jiang, H., “An Analysis of Profit Cycles in the Airline Industry,” SM thesis, Massachusetts Institute of Technology, Cambridge, MA, December 2004. 9 U.S. Department of Transportation, Form 41 data. 10 Air Transport Association, “ATA Quarterly Airline Cost Index of U.S. Major and National Passenger Carriers,” URL: http://www.airlines.org/econ/d.aspx?nid=1042 [cited 20 December 2004]. 11 Market Analysis, Current Market Outlook 2003, Boeing Commercial Airplanes, Seattle, Washington, 2003 17 American Institute of Aeronautics and Astronautics

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