2012
DOI: 10.1007/s11403-012-0103-8
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On the distributional properties of size, profit and growth of Icelandic firms

Abstract: In this paper, we analyze the distributional properties of the balance sheets of Icelandic firms by performing an empirical analysis of total assets, profit rates and growth rates using a data set of 2818 Icelandic firms during the period 2000-2009. We find that the firms size measure, i.e. total assets, have the same heavy tail characteristics as various studies have shown, e.g. for U.S. and Italian firms. The heavy tail nature of the total assets distribution seems to be robust w.r.t. a boom-bust cycle of th… Show more

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Cited by 18 publications
(14 citation statements)
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References 25 publications
(8 reference statements)
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“…The annual crosssectional profit rate distributions exhibit considerable excess kurtosis, that is fatter tails than the normal distribution, which is confirmed by the Anscombe and Glynn (1983) test that clearly rejects the null hypothesis of zero excess kurtosis at any level of significance, as shown in Table 9 of Appendix A; various goodness-of-fit tests reject the null hypothesis of normally distributed profit rates for all except one of the 37 annual cross-sectional distributions at the five percent level. Altogether, these empirical observations support the hypothesis of a symmetric leptokurtic profit rate distribution, which has previously been found to approximately follow a double-exponential or Laplace distribution (see, e.g., Al- farano and Milaković, 2008; Alfarano et al, 2012;Erlingsson et al, 2012). Turning to the time-series properties, the autocorrelation coefficients that are plotted in Figure 1 suggest that profit rates are positively correlated.…”
Section: Datasupporting
confidence: 83%
“…The annual crosssectional profit rate distributions exhibit considerable excess kurtosis, that is fatter tails than the normal distribution, which is confirmed by the Anscombe and Glynn (1983) test that clearly rejects the null hypothesis of zero excess kurtosis at any level of significance, as shown in Table 9 of Appendix A; various goodness-of-fit tests reject the null hypothesis of normally distributed profit rates for all except one of the 37 annual cross-sectional distributions at the five percent level. Altogether, these empirical observations support the hypothesis of a symmetric leptokurtic profit rate distribution, which has previously been found to approximately follow a double-exponential or Laplace distribution (see, e.g., Al- farano and Milaković, 2008; Alfarano et al, 2012;Erlingsson et al, 2012). Turning to the time-series properties, the autocorrelation coefficients that are plotted in Figure 1 suggest that profit rates are positively correlated.…”
Section: Datasupporting
confidence: 83%
“…Growth in various measures of size such as gross sales, total assets or number of employees for the whole range of firms has also been shown to be fattailed with relatively frequent extreme events, where empirical growth rate densities display a characteristic 'tent shape' on a semi-logarithmic scale, implying an exponential power functional form (Amaral et al 1997;Bottazzi et al 2001Bottazzi et al , 2002Bottazzi andSecchi 2005, 2006;Alfarano and Milaković 2008;Bottazzi et al 2011;Erlingsson et al 2013;Mundt et al 2015). These distributions have frequently been identified as Laplacian (Kotz et al 2012), which though has recently been challenged theoretically and empirically (Mundt et al 2015).…”
Section: Stylised Facts In Industrial Dynamicsmentioning
confidence: 99%
“…These results are congruent with Williams et al [11] findings that claim that the distribution of firm growth rates is most of the times better fitted by the Cauchy distribution than by the Laplace distribution. The 'stylized fact' of the Laplace distribution being repeatedly considered the most suitable fit for firm growth rates in many studies (see, e.g., [22,23,24,25,26,27,28,29]) since the path-breaking study of Stanley et al [1], have been questioned by other empirical findings. For example, Bottazi et al [30] show that the growth rates of French firms are even fatter tailed than predicted by Laplace distribution.…”
Section: Distribution Of Growth Ratesmentioning
confidence: 99%