Benford's law and Chinese banks' non-performing loans

Karlo Kauko

No 25/2019, BOFIT Discussion Papers from Bank of Finland Institute for Emerging Economies (BOFIT)

Abstract: Benford's law states that the leading significant digits in real-world data sets, provided the data span several orders of magnitude, are not normally uniformly distributed. Deviations from this law may indicate human intervention, even fraud. The data on Chinese banks' non-performing loans has sometimes deviated from Benford's law. Up to 2012, the frequency of ones as leading significant digits was lower than predicted by Benford's law. Surprisingly, the number of ones well exceeded the expected level for large and government-owned banks during 2015–2018.

JEL-codes: C46 G21 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/212933/1/bofit-dp2019-025.pdf (application/pdf)

Related works:
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:zbw:bofitp:bdp2019_025

Access Statistics for this paper

More papers in BOFIT Discussion Papers from Bank of Finland Institute for Emerging Economies (BOFIT) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().