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Hidden Risk
Author(s) -
R.M. Mayo
Publication year - 2022
Publication title -
international journal of finance and banking studies
Language(s) - English
Resource type - Journals
ISSN - 2147-4486
DOI - 10.20525/ijfbs.v11i1.1550
Subject(s) - mainland china , loan , mainland , business , net income , accounting , benford's law , actuarial science , china , geography , statistics , finance , mathematics , archaeology
Using self-reported data from banks in mainland China, I apply a technique used in forensic accounting based on Benford’s Law to detect fraudulent manipulation of non-performing loan (NPL) figures.  I find large data anomalies consistent with false reporting in mainland banks that do not appear in an identically structured survey of Hong Kong banks.  A comparison of different types of data from mainland banks shows no statistically significant anomalies in data for total deposits from customers, operating expenses, net interest income, or non-interest income.

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