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The distributions of returns look identical, suggesting luck as much as skill determines the existence of outperformers.
Another part of the answer has something to do with the distributions of returns.
Our analysis confirms previous works showing the tendency for the tails to resemble more and more a power-law for the highest quantiles but we can detect clear deviations that suggest that the structure of the tails of the distributions of returns is more complex than usually assumed; it is clearly more complex that just a power-law.
From Tables 3 and 4, they indicate that the behaviors of the financial model are close to the real market when the intensity ¿ ranges from 0.4 to 1.0, and the hypothesis is denied that the distributions of returns follow the corresponding Gaussian distribution.
Although our point thinning approach did not recreate realistic distributions of returns and did not consider the covarying effect of return parameters when survey parameters are changed, our results on metrics variation patterns agree with other studies that actually varied the surveying parameters.
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Table 3 contains statistics of the difference between the counterfactual wage distributions of return migrants and the observed wage distribution for stayers each year (equation 2).
Several other investments failed to produce respectable returns only because of currency depreciations.All this looked very much like the distribution of returns typical in venture capital plenty of duds, a few stellar performers rather than in mainstream banking.
The distribution of returns also changed, becoming twin-peaked (see right-hand chart) with a fatter tail of firms enjoying returns on their assets of over 20%.Frogs into princesConcentration also began to increase again after 2000, at least in some industries, according to Mr Mody, Ms Nath and Mr Walton.
Disney et al. [10] showed the impact of vertical distribution of vegetation on the distribution of returns.
In our case, understanding the statistical distribution of returns provides guidelines around how we deploy capital instead of arbitrary rules-of-thumb.
The distribution of returns from the different U.S. and UK samples is virtually identical — a useful robustness check on the initial North American data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com