Benford's law first significant digit and distribution distances for testing the reliability of finanical reports in developing countries
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Zhu, Tingting | en |
| dc.contributor.author | Shi, Jing | en |
| dc.contributor.author | Ausloo, Marcel | en |
| dc.date.acceptance | 2017-11-12 | en |
| dc.date.accessioned | 2018-11-22T13:07:34Z | |
| dc.date.available | 2018-11-22T13:07:34Z | |
| dc.date.issued | 2017-11-24 | |
| dc.description.abstract | Wediscuss 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. | en |
| dc.exception.reason | full text not deposited within 3 months of acceptance date | en |
| dc.funder | n/a | en |
| dc.identifier.citation | Shi, J., Ausloos, M. and Zhu T. (2018) Benfords law first significant digit and distribution distances for testing the reliability of financial reports in developing countries. Physica A Statistical Mechanics and its Applications, 492, pp. 878-888 | en |
| dc.identifier.doi | https://doi.org/10.1016/j.physa.2017.11.017 | |
| dc.identifier.issn | 0378-4371 | |
| dc.identifier.uri | http://hdl.handle.net/2086/17257 | |
| dc.language.iso | en | en |
| dc.peerreviewed | Yes | en |
| dc.projectid | n/a | en |
| dc.publisher | Elsevier | en |
| dc.researchinstitute | Finance and Banking Research Group (FiBRe) | en |
| dc.subject | Benford's law(BL) | en |
| dc.subject | Outliers | en |
| dc.subject | Distributions distance to BL | en |
| dc.title | Benford's law first significant digit and distribution distances for testing the reliability of finanical reports in developing countries | en |
| dc.type | Article | en |