DETECTING FINANCIAL STATEMENT FRAUD USING THE BENEISH M-SCORE MODEL IN STATE-OWNED COMPANIES INVOLVED IN CRIMINAL ACTS OF CORRUPTION
DOI:
https://doi.org/10.32497/aamar.v5i2.7557Keywords:
Beneish M-Score, Financial Statement Fraud, BUMN, Corruption, Analysis Financial statementsAbstract
This research is motivated by the increasing case corruption in state-owned companies and existence indication manipulation report frequent financial become part from practice corrupt. The main goal this research is test whether there is indication manipulation report finance using the Beneish M-Score model on the state-owned companies involved corruption during period 2010-2023. This study uses approach quantitative descriptive with purposive sampling technique, with sample of 9 state-owned companies involved action criminal corruption and applying method analysis ratio Beneish M-Score based on report data finance annual. From 124 observation data study show that a total of 51 data were categorized as a manipulator with 26 data showing indication manipulation report finance during period corruption and 25 data shows indication manipulation report outside finance period corruption, while the remaining 73 data categorized as non-manipulators. These findings indicate that manipulation report finance often ongoing simultaneously with activity corruption, although this phenomenon is not always consistent happens in every company or throughout period case corruption.
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