The first significant digit distribution analysis of financial
data of selected companies from media sector listed on the Warsaw Stock
Exchange Cover Image

Analiza rozkładu pierwszej cyfry znaczącej danych finansowych wybranych spółek z sektora mediów notowanych na GPW w Warszawie
The first significant digit distribution analysis of financial data of selected companies from media sector listed on the Warsaw Stock Exchange

Author(s): Mateusz Baryła
Subject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: digital analysis; Benfordʼs Law; first (significant) digit test

Summary/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, accounting 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

  • Issue Year: 2017
  • Issue No: 469
  • Page Range: 11-20
  • Page Count: 10
  • Language: Polish