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An efficient graph‐based peer selection method for financial statements

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  • Sander Noels
  • Simon De Ridder
  • Sébastien Viaene
  • Tijl De Bie

Abstract

Comparing companies can be useful for various purposes. Despite the widespread use of industry classification systems as a peer selection standard, these have been criticized for various reasons. Financial statements, however, offer a promising alternative to such classification systems. They are standardized, widely available, and offer deep insights into the nature of the company. In this paper, we present a graph distance metric for financial statements using the earth mover's distance. When using the distance metric on real‐world tasks such as peer identification and industry classification, it shows promising results in terms of accuracy and computational efficiency.

Suggested Citation

  • Sander Noels & Simon De Ridder & Sébastien Viaene & Tijl De Bie, 2023. "An efficient graph‐based peer selection method for financial statements," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(3), pages 120-136, July.
    • Handle: RePEc:wly:isacfm:v:30:y:2023:i:3:p:120-136
    DOI: 10.1002/isaf.1539
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