Literature DB >> 19066227

The size variance relationship of business firm growth rates.

Massimo Riccaboni1, Fabio Pammolli, Sergey V Buldyrev, Linda Ponta, H E Stanley.   

Abstract

The relationship between the size and the variance of firm growth rates is known to follow an approximate power-law behavior sigma(S) approximately S(-beta(S)) where S is the firm size and beta(S) approximately 0.2 is an exponent that weakly depends on S. Here, we show how a model of proportional growth, which treats firms as classes composed of various numbers of units of variable size, can explain this size-variance dependence. In general, the model predicts that beta(S) must exhibit a crossover from beta(0) = 0 to beta(infinity) = 1/2. For a realistic set of parameters, beta(S) is approximately constant and can vary from 0.14 to 0.2 depending on the average number of units in the firm. We test the model with a unique industry-specific database in which firm sales are given in terms of the sum of the sales of all their products. We find that the model is consistent with the empirically observed size-variance relationship.

Year:  2008        PMID: 19066227      PMCID: PMC2604942          DOI: 10.1073/pnas.0810478105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

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Authors:  Dongfeng Fu; Fabio Pammolli; S V Buldyrev; Massimo Riccaboni; Kaushik Matia; Kazuko Yamasaki; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-19       Impact factor: 11.205

2.  Some distributions associated with bose-einstein statistics.

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Journal:  Proc Natl Acad Sci U S A       Date:  1975-05       Impact factor: 11.205

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-09-21
  3 in total
  9 in total

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2.  Herd behavior in a complex adaptive system.

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Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

7.  Market instability and the size-variance relationship.

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8.  Robust Characterization of Multidimensional Scaling Relations between Size Measures for Business Firms.

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  9 in total

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