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Title Methodology of industry statistics: averages, quartiles, and responses to atypical values Author info Martin Boďa, Vladimír Úradníček Author Boďa Martin 1984- (60%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Co-authors Úradníček Vladimír 1963-2021 (40%) UMBEF05 - Katedra kvantitatívnych metód a informačných systémov
Source document E+M Ekonomie a Management. Roč. 23, č. 3 (2020), s. 120-137. - Liberec : Technická univerzita v Liberci, 2020 Keywords priemyselné štatistiky - industry statistics finančné pomery kvartily - quartiles hodnoty - values priemery Form. Descr. články - journal articles Language English Country Czech Republic Annotation The paper notices troublesome aspects of compiling industry statistics for the purpose of inter-enterprise comparison in corporate financial analysis. Whilst making a caveat that this issue is unbeknownst to practitioners and underrated by theorists, the goal of the paper is two-fold. For one thing, the paper demonstrates that financial ratios are inclined to frequency distributions characteristic of power-law (fat) tails and their typical shape precludes a simple treatment. For the other, the paper explores different approaches to compiling industry statistics by considering trimming and winsorizing cleansing protocols, and by confronting trimmed, winsorized as well as quantile measures of central tendency. The issues are empirically illustrated on data for a great number of Slovak construction enterprises for two years, 2009 and 2018. The empirical distribution of eight financial ratios is studied for troublesome features such as asymmetry and power-law (fat) tails that hamper usefulness of traditional descriptive measures of location without considering different possibilities of handling atypical values (such as infinite and outlying values). The confrontation of diverse approaches suggests a plausible route to compiling industry statistics that consists in reporting a 25% trimmed mean alongside 25% and 75% quantiles, all applied to trimmed data (i.e. data after discarding infinite values). The paper also highlights the sorely unnoticed fact that the key ratio of financial analysis, return on equity, may easily attain non-sense values and these should be removed prior to compiling financial analysis; otherwise, industry statistics is biased upward regardless of what measure of central tendency is made use of. Public work category ADM No. of Archival Copy 48406 Repercussion category HEDVIČÁKOVÁ, Martina - KRÁL, Martin. Performance evaluation framework in the industry 4.0 context : the case of the Czech manufacturing industry. In E + M : ekonomie a management. ISSN 1212-3609, 2021, vol. 24, no. 1, pp. 118-134.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika 
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Title Peňažníctvo Slovenskej republiky (1939-1945) Par.title [Money system in Slovakia (1939-1945)] Subtitle bakalárska práca Author info Štefan Chrastina; vedúci bakalárskej práce: Marcel Pecník Author Chrastina Štefan
Another authors Pecník Marcel 1983- (Školiteľ (konzultant))
Corporation Univerzita Mateja Bela . Filozofická fakulta . Katedra histórie , Banská Bystrica, Slovensko Issue data Banská Bystrica , 2008. - 60 s. + Obraz. príloha Note Súbežný názov angl.. - Katedra histórie Fakulty humanitných vied Univerzity Mateja Bela v Banskej Bystrici Keywords finančné pomery mena - currency menové systémy - monetary systems financial relationships Headings Geogr. Slovensko Language Slovak Country Slovak Republic systematics 93/94 336/"1939-1945" Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xk - Kvalifikačné práce Copy count 1, currently available 0, at library only 1 
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Call number Location Sublocation Umiestnenie Info KP 13681 Univerzita Mateja Bela Universal reading room – deposit. Available in 2 days. In-Library Use Only