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

Dean Katselas, Baljit K. Sidhu, Chuan Yu

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)1131-1162
    Number of pages32
    JournalAccounting and Finance
    Volume59
    Issue number2
    DOIs
    Publication statusPublished - Jun 2019

    Fingerprint

    Dive into the research topics of 'Know your industry: the implications of using static GICS classifications in financial research'. Together they form a unique fingerprint.

    Cite this