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Baryła, M (2017)

The First Significant Digit Distribution Analysis of Financial Data of Selected Companies from Media Sector Listed on the Warsaw Stock Exchange

Res. Pap. Wrocław Univ. Econ. 469, pp. 11–20.

ISSN/ISBN: Not available at this time. DOI: 10.15611/pn.2017.469.01

Note - this is a foreign language paper: POL

Abstract: Digital analysis belongs to the group of data analysis methods. It comprises, among others, the first significant digit test. Digital analysis tests, based on Benfordʼs Law, find their application in the process of data sets quality assessment. They are also employed in order to detect irregularities which appear in financial data, including: tax frauds, account- ing frauds, etc. The paper presents the outcomes of the first significant digit analysis for data drawn from financial statements of selected companies listed on the Warsaw Stock Exchange. When assessing conformity of empirical distribution of the first significant digit with Benfordʼs distribution, the following methods were used: test for a population proportion, chi-square goodness of fit test, and mean absolute deviation (MAD). Moreover, rankings of the analysed comapnies are presented, taking into account the level of agreement of the first significant digit distribution with Benfordʼs Law.

@misc{ author={Baryła, Mateusz}, doi={DOI: 10.15611/pn.2017.469.01}, address={Wrocław}, access={Dla wszystkich zgodnie z licencją}, year={2017}, description={Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2017; Nr 469; s. 11-20}, language={pol}, title={Analiza rozkładu pierwszej cyfry znaczącej danych finansowych wybranych spółek z sektora mediów notowanych na GPW w Warszawie}, type={artykuł}, publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu}, }

Reference Type: Journal Article

Subject Area(s): Accounting, Economics