financial sectoral indicators (ECB/INPI)

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Dataset information

Country of origin
Updated
2023.02.27 13:54
Created
2023.02.27
Available languages
English
Keywords
Quality scoring

Dataset description

These data are used to position a company’s financial ratios to a cohort of similar firms, based on a comparison by industry, turnover and year of year. Each line of this data source allows you to consult the percentiles of each sector ratio, calculated on a cohort of selected balance sheets (50 minimum) based on their sector of activity, turnover and year of year. The distribution of percentiles is carried out on a sample sorted in ascending order. The percentiles are calculated using a continuous percentile method, following a linear regression (see PostgreSQL percentile_cont method). The values q10/q25/q50/q75/q90 mean the 10th, 25th, 50th, 75th, 90th percentiles of the distribution: \- Q10 represents the value below which is 10 % of the data. If this value does not exist exactly in the data, it will be determined by linear interpolation. \- Q25, or the first quartile, represents the value below which is 25 % of the data. \- Q50, or median, is the value that divides the data into two equal halves, i.e. 50 % of the data is less than this value. \- Q75, or the third quartile, is the value below which is 75 % of the data. \- Q90 is the value below which is 90 % of the data. Sectoral ratios from INPI/ECB financial indicators
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190K+
indexed dataset pages
32
countries and EU institutions
2019
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