International Business & Economic Research Journal 14(6), pp. 829-834.
ISSN/ISBN: Not available at this time. DOI: 10.19030/iber.v14i6.9489
Abstract: Leading digits often follow a distribution described by Newcomb (1881) and Benford (1938). We apply this phenomenon known as Benford’s Law on cover assets provided by issuers of German covered bonds. The main finding of the empirical analysis is that leading digits of these assets seem to follow the Benford distribution. Standard statistical evidence, however, might be misleading due to effects of large data sets. Consequently, the present paper also provides an example of how to deal with large data sets when a Benford distribution is assumed.
Bibtex:
@article {,
AUTHOR = {Stephan Kienle},
TITLE = {What Benford Can Tell Us About Cover Pools – An Empirical Analysis},
JOURNAL = {International Business & Economic Research Journal},
YEAR = {2015},
VOLUME = {14},
NUMBER = {6},
PAGES = {829--834},
DOI = {10.19030/iber.v14i6.9489},
URL = {https://clutejournals.com/index.php/IBER/article/view/9489},
}
Reference Type: Journal Article
Subject Area(s): Economics, Statistics