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Company scaling and its deviations: New indicators for enterprise evaluation and bankruptcy prediction

Xu, Jing (author)
Beijing Normal University
Chen, Xi (author)
Chalmers tekniska högskola,Chalmers University of Technology
Wen, Lei (author)
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Zhang, Jiang (author)
Beijing Normal University
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 (creator_code:org_t)
2023
2023
English.
In: PLoS ONE. - 1932-6203 .- 1932-6203. ; 18:10
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Many studies have shown that scaling laws widely exist in various complex systems, such as living organisms, cities, and online communities. In this research, we found that scaling laws also hold for companies. The macroscopic variables of companies, such as incomes, expenses, or total liability, all have power-law relationships with respect to the sizes of companies, which can be measured by sales, total assets, or the total number of employees. What is more, we also found the power law exponents always deviate from 1. That means large companies naturally have certain advantages, but the widely used financial indicators based on total volume or ratio may not reflect the company’s status well because they are also size-dependent. To tackle this problem, this paper proposes a new set of evaluation indices based on the deviations of the macroscopic variables from the scaling law to eliminate the size-dependent effect. We found that the indicators based on deviations can give more reasonable evaluations for companies and can outperform other conventional indicators to predict the financial distress of companies.

Subject headings

SAMHÄLLSVETENSKAP  -- Juridik (hsv//swe)
SOCIAL SCIENCES  -- Law (hsv//eng)

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By the author/editor
Xu, Jing
Chen, Xi
Wen, Lei
Zhang, Jiang
About the subject
SOCIAL SCIENCES
SOCIAL SCIENCES
and Law
Articles in the publication
PLoS ONE
By the university
Chalmers University of Technology

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