nternational Journal of Finance & Banking Studies (2147-4486), 11(1), pp. 98–106.
ISSN/ISBN: Not available at this time. DOI: 10.20525/ijfbs.v11i1.1550
Abstract: 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.
Bibtex:
@article{,
title={Hidden Risk: Detecting Fraud in Chinese Banks’ Non-performing Loan Data},
volume={11},
url={http://www.ssbfnet.com/ojs/index.php/ijfbs/article/view/1550},
DOI={10.20525/ijfbs.v11i1.1550},
number={1},
journal={International Journal of Finance & Banking Studies (2147-4486)},
author={Mayo, Robert},
year={2022},
month={Jan.},
pages={98–-106},
}
Reference Type: Journal Article
Subject Area(s): Accounting