A Longitudinal Categorization of US Airline Industry: Using Dynamic Stock Return Method

Abstract

In this exploratory paper, the dynamic stock return method (DSRM) initially proposed as an effective and replicable method by Cho (2007, 2011, and 2017) is deliberately applied to the US airline industry over the period from 1979 to 1992. The longitudinal strategic group (SG) results from the DSRM show good face validity. They are consistent with the industry’s fact-based historical progress. We also find that the operational measures such as market share or productivity tend to support the grouping results. Furthermore, the result of 14-year analysis of relative closeness of stock responsive movements between two representative airline firms (American and Hawaiian airlines) could be inferred that the SGs derived from the DSRM are valid and robust over a longer time span. We conclude that the DSRM could be a good alternative instrument for the longitudinal study of industry substructure.