Analysts use statistical models and empirical frameworks to mathematically identify high risks of financial statement manipulation.
Frameworks
- The Beneish M-Score: A mathematical model combining eight accounting variables to score the probability that a company has manipulated its earnings. An M-Score above -1.78 indicates high manipulation risk.
- The Altman Z-Score: A multi-variable model evaluating financial distress and bankruptcy risk. A score below 1.81 places the company in the “Distress Zone.”
- Dechow-Dichev Accrual Model: Evaluates the quality of a firm’s working capital accruals by analyzing how cleanly past, present, and future cash flows map to recorded net income.
Piotroski F-Score
- The Tool: A 9-point checklist evaluating profitability, leverage, liquidity, and operational efficiency.
- The Threshold: Scores below 3 point to highly distressed fundamentals that elevate the risk of desperate accounting maneuvers.
Benford’s Law Analysis
- The Tool: Checks the frequency distribution of the leading digits in ledger datasets against logarithmic natural patterns.
- The Threshold: Variations from the expected distribution reveal human intervention, pointing to fabricated entries.