EconPapers    
Economics at your fingertips  
 

Benford's law first significant digit and distribution distances for testing the reliability of financial reports in developing countries

Jing Shi, Marcel Ausloos and Tingting Zhu

Papers from arXiv.org

Abstract: We discuss a common suspicion about reported financial data, in 10 industrial sectors of the 6 so called "main developing countries" over the time interval [2000-2014]. These data are examined through Benford's law first significant digit and through distribution distances tests. It is shown that several visually anomalous data have to be a priori removed. Thereafter, the distributions much better follow the first digit significant law, indicating the usefulness of a Benford's law test from the research starting line. The same holds true for distance tests. A few outliers are pointed out.

Date: 2017-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://arxiv.org/pdf/1712.00131 Latest version (application/pdf)

Related works:
Journal Article: Benford’s law first significant digit and distribution distances for testing the reliability of financial reports in developing countries (2018) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1712.00131

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().

 
Page updated 2025-03-19
Handle: RePEc:arx:papers:1712.00131