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The Accounting Review Vol. 98 No. 1 2023

Using Economic Links between Firms to Detect Accounting Fraud

Chenchen Li1; Ningzhong Li2; Frank Zhang3

1 Nanjing University · 2 The University of Texas at Dallas · 3 Yale University

Abstract

We explore whether accounting fraud can be detected using the information of firms economically linked to a focal firm. Specifically, we examine whether customer information disclosed by a supplier firm, combined with customers’ accounting information, helps to detect the supplier’s revenue fraud. We first confirm the economic link between the supplier and customers by showing a strong positive correlation between the supplier’s sales growth and the growth rate of total customer purchases. We then introduce two variables based on customer accounting information—the discrepancy between supplier sales growth and customer purchase growth and customer excess purchases—and show that they are predictive of supplier revenue fraud. We conduct a battery of cross-sectional tests and generally find results to vary cross-sectionally in a predictable way. Finally, the out-of-sample tests indicate that adding the two variables to Dechow, Ge, Larson, and Sloan (2011) model increases fraud prediction accuracy.

DOI
10.2308/tar-2021-0313
Volume
98
Issue
1
Pages
399-421
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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