Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/212933 
Autor:innen: 
Erscheinungsjahr: 
2019
Schriftenreihe/Nr.: 
BOFIT Discussion Papers No. 25/2019
Verlag: 
Bank of Finland, Institute for Economies in Transition (BOFIT), Helsinki
Zusammenfassung: 
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: 
C46
G21
Persistent Identifier der Erstveröffentlichung: 
ISBN: 
978-952-323-308-9
Dokumentart: 
Working Paper

Datei(en):
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