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The Omega Score: An improved tool for SME default predictions

Altman, Edward I.
•
Balzano, Marco
•
Giannozzi, Alessandro
•
Srhoj, Stjepan
2023
  • journal article

Periodico
JOURNAL OF THE INTERNATIONAL COUNCIL FOR SMALL BUSINESS
Abstract
The Omega Score, a novel small and medium-sized enterprise (SME) default predictor developed by Altman et al. in 2022, combines indicators related to financial ratios, payment behavior, and management and employees variables that play an important role in predicting SME defaults. Built with machine-learning techniques and rich dataset information, the Omega Score can be used to categorize an SME into one of the following three groups: healthy, moderate-risk, and high-risk. The Omega Score can be utilized by financial institutions to reduce lending errors and minimize loan defaults, support policy makers in implementing effective restructuring policies, assist credit analytics firms in assessing creditworthiness, assist investors in allocating funds, and asset managers to support decision-making processes.
DOI
10.1080/26437015.2023.2186284
WOS
WOS:001128420900005
Archivio
https://hdl.handle.net/11368/3088638
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85152438634
https://www.tandfonline.com/doi/full/10.1080/26437015.2023.2186284
Diritti
closed access
license:copyright editore
license uri:iris.pri02
FVG url
https://arts.units.it/request-item?handle=11368/3088638
Soggetti
  • Omega Score

  • default prediction mo...

  • small and medium-size...

  • machine learning tech...

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