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The impact of industry classification schemes on financial research

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  • Weiner, Christian

Abstract

This paper investigates industry classification systems. During the last 50 years there has been a considerable discussion of problems regarding the classification of economic data by industries. From my perspective, the central point of each classification is to determine a balance between aggregation of similar firms and differentiation between industries. This paper examines the structure and content of industrial classification schemes and how they affect financial research. I use classification systems provided by the Worldscope and the Compustat database. First, this study gives a detailed description of the structure and methodology of industrial classification systems and the relevance in leading finance and accounting journals. Second, I construct a benchmark classification system to measure the performance of different systems and provide evidence that some systems a more homogeneous in terms of value drivers than others. Third, I examine how multiple valuation is influenced by industry classification and show that the results vary significantly for different systems.

Suggested Citation

  • Weiner, Christian, 2005. "The impact of industry classification schemes on financial research," SFB 649 Discussion Papers 2005-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2005-062
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    7. Rudolph, Christin & Schwetzler, Bernhard, 2014. "Mountain or molehill? Downward biases in the conglomerate discount measure," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 420-431.

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