Know your industry: the implications of using static GICS classifications in financial research

Dean Katselas, Baljit K. Sidhu and Chuan Yu

Accounting and Finance, 2019, vol. 59, issue 2, 1131-1162

Abstract: Researchers commonly use industry classifications as a means of identifying peer companies to use as a performance benchmark. We describe the structure of commonly used sources of industry classification data available for Australian listed companies, both static and in time series. Next, we run a series of experiments matching firms according to GICS classification data presented in time series versus static data sources. Our results indicate that performance measures are better specified when matching on GICS data from a dynamic relative to a static source. The results of our power tests also underscore the importance of using dynamic industry data.

Date: 2019
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